Evaluation of the Appropriateness and Readability of ChatGPT-4 Responses to Patient Queries on Uveitis

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flex-md-nowrap"> <div class="d-flex align-items-center mb-2"> <ul class="nav nav-underline f16 font-weight-bold"> <li class="active"> <a href="javascript:;"> Overview </a> </li> <li class=""> <a href="https://www.peeref.com/works/83921484/comments"> Write a Review </a> </li> </ul> </div> <div class="d-flex align-items-center justify-content-md-end flex-wrap flex-md-nowrap"> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://doi.org/10.1016/j.xops.2024.100594" target="_blank" class="btn btn-warning btn-circle"> <i class="ivu-icon ivu-icon-md-copy f16"></i> <strong>Get Full Text</strong> </a> </div> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <a href="https://www.peeref.com/works/83921484/add-to-collection" class="btn btn-success btn-circle"> <strong>Add to Collection</strong> </a> </div> <div class="mr-3 mt-3 mt-md-0 flex-shrink-0"> <button class="btn btn-success btn-circle" id="reading-btn"> <strong>Further Reading</strong> </button> </div> <div class="flex-shrink-0 mt-3 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class="title f16"> <a href="https://www.peeref.com/journals/29755/ophthalmology-science"> OPHTHALMOLOGY SCIENCE </a> </h5> <span> Volume 5, Issue 1, Pages - </span> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Publisher</h4> <div class="f16"> <h5 class="title f16 text-primary"> ELSEVIER </h5> <div class="my-2"> DOI: 10.1016/j.xops.2024.100594 </div> </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Keywords</h4> <div class="f16"> Artificial fi cial intelligence; ChatGPT; Patient education; Uveitis </div> </div> <div class="mb-3 pb-3"> <h4 class="mt-0">Categories</h4> <div class="f16"> <span class="d-block"> <a href="https://www.peeref.com/works/list?category=Ophthalmology" target="_blank" class="text-dark btn btn-link p-0 text-left"> Ophthalmology </a> </span> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 text-center">Ask authors/readers for more resources</h4> <div class="requests"> <div class="requests-item"> <div 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<strong>Abstract</strong> </a> </li> </ul> <div class="tab-content border border-top-0"> <div id="ai_summary" class="tab-pane active"> <div class="summary-panel panel-box mb-0 rounded shadow-none"> <div class="f16">This study compared the usefulness of ChatGPT-4 as an online uveitis patient education resource with existing patient education websites. Results showed that ChatGPT-4 provided more comprehensive and accurate information, and could be tailored to the patient's educational level.</div> </div> </div> <div id="raw_abstract" class="tab-pane "> <div class="abstract-panel panel-box mb-0 rounded shadow-none"> <div class="f16">Purpose: To compare the utility of ChatGPT-4 as an online uveitis patient education resource with existing patient education websites. Design: Evaluation of technology. Participants: Not applicable. Methods: The term uveitis was entered into the Google search engine, and the first 8 nonsponsored websites were selected to be enrolled in the study. Information regarding uveitis for patients was extracted from Healthline, Mayo Clinic, WebMD, National Eye Institute, Ocular Uveitis and Immunology Foundation, American Academy of Ophthalmology, Cleveland Clinic, and National Health Service websites. ChatGPT-4 was then prompted to generate responses about uveitis in both standard and simplified formats. To generate the simplified response, the following request was added to the prompt: 'Please provide a response suitable for the average American adult, at a sixth-grade comprehension level.' Three dual fellowship-trained specialists, all masked to the sources, graded the appropriateness of the contents (extracted from the existing websites) and responses (generated responses by ChatGPT-4) in terms of personal preference, comprehensiveness, and accuracy. Additionally, 5 readability indices, including Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, and Simple Measure of Gobbledygook index were calculated using an online calculator, Readable.com, to assess the ease of comprehension of each answer. Main Outcome Measures: Personal preference, accuracy, comprehensiveness, and readability of contents and responses about uveitis. Results: A total of 497 contents and responses, including 71 contents from existing websites, 213 standard responses, and 213 simplified responses from ChatGPT-4 were recorded and graded. Standard ChatGPT-4 responses were preferred and perceived to be more comprehensive by dually trained (uveitis and retina) specialist ophthalmologists while maintaining similar accuracy level compared with existing websites. Moreover, simplified ChatGPT-4 responses matched almost all existing websites in terms of personal preference, accuracy, and comprehensiveness. Notably, almost all readability indices suggested that standard ChatGPT-4 responses demand a higher educational level for comprehension, whereas simplified responses required lower level of education compared with the existing websites. Conclusions: This study shows that ChatGPT can provide patients with an avenue to access comprehensive and accurate information about uveitis, tailored to their educational level. Financial Disclosure(s): The author(s) have no proprietary or commercial interest in any materials discussed in this article. Ophthalmology Science 2025;5:100594 (c) 2024 Published by Elsevier Inc. on behalf of the American Academy of Ophthalmology. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).</div> </div> </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Authors</h4> <div class="mb-3"> <article-authors tid="83921484" list="[{"name":"S. Saeed Mohammadi","sequence":1},{"name":"Anadi Khatri","sequence":2},{"name":"Tanya Jain","sequence":3},{"name":"Zheng Xian Thng","sequence":4},{"name":"Woong-sun Yoo","sequence":5},{"name":"Negin Yavari","sequence":6},{"name":"Vahid Bazojoo","sequence":7},{"name":"Azadeh Mobasserian","sequence":8},{"name":"Amir Akhavanrezayat","sequence":9},{"name":"Ngoc Trong Tuong Than","sequence":10},{"name":"Osama Elaraby","sequence":11},{"name":"Battuya Ganbold","sequence":12},{"name":"Dalia El Feley","sequence":13},{"name":"Trung Nguyen","sequence":14},{"name":"Cigdem Yasar","sequence":15},{"name":"Ankur Gupta","sequence":16},{"name":"Jia-Horung Hung","sequence":17},{"name":"Quan Dong Nguyen","sequence":18}]" verified="[]" page="work" ></article-authors> </div> <div class="alert alert-warning mb-0"> <h5 class="mt-0 bg-warning text-dark px-3 rounded d-inline-block"> I am an author on this paper </h5> <div class="font-weight-bold f13"> Click your name to claim this paper and add it to your profile. </div> </div> </div> <div class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Reviews</h4> <div class="d-flex flex-wrap flex-md-nowrap"> <div class="flex-grow-1"> <h4 class="f16"> Primary Rating <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="The primary rating indicates the level of overall quality for the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap align-items-center alert mb-0"> <div class="d-flex align-items-center justify-content-center"> <Rate disabled allow-half value="3.8" style="font-size: 28px;"></Rate> <strong class="f20 m-3" style="color: #f5a623;">3.8</strong> </div> <div class="text-muted mx-4"> Not enough ratings </div> </div> <h4 class="f16"> Secondary Ratings <a href="javascript:;" data-toggle="tooltip" data-placement="right" title="Secondary ratings independently reflect strengths or weaknesses of the paper."> <i class="ivu-icon ivu-icon-md-help-circle f18 ml-2"></i> </a> </h4> <div class="d-flex flex-wrap flex-md-nowrap alert"> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Novelty</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Significance</h5> <strong class="mx-4">-</strong> </div> <div class="d-flex flex-shrink-0 align-items-center mr-3"> <h5 class="my-0">Scientific rigor</h5> <strong class="mx-4">-</strong> </div> </div> </div> <div class="flex-shrink-0"> <div class="border bg-light py-2 px-4"> <h5 class="mb-1">Rate this paper</h5> <Rate class="f24" @on-change="function(value){ location.href='https://www.peeref.com/works/83921484/comments?rating='+value }"></Rate> </div> </div> </div> </div> <div id="collection" class="f15 panel-box rounded shadow-none border"> <h4 class="mt-0 heading-count">Recommended</h4> <div class="my-3"> <ul class="nav nav-pills border-bottom pb-3" style="list-style: none; padding-left: 0;"> <li class="active"> <a href="#articles_from_related" data-toggle="tab" class="mx-0 f15"> <strong>Related</strong> </a> </li> <li class=""> <a href="#articles_from_authors" data-toggle="tab" class="mx-0 f15"> <strong>From Same Authors</strong> </a> </li> <li class=""> <a href="#articles_from_journal" data-toggle="tab" class="mx-0 f15"> <strong>From Same Journal</strong> </a> </li> </ul> <div class="tab-content"> <div id="articles_from_related" class="tab-pane active"> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Cardiac & Cardiovascular Systems </span> </div> <h4> <a href="https://www.peeref.com/works/83551915" class="text-dark hover-underline">Appropriateness of ChatGPT in Answering Heart Failure Related Questions</a> </h4> <p class="text-ellipsis-2">Ryan C. King, Jamil S. Samaan, Yee Hui Yeo, Behram Mody, Dawn M. Lombardo, Roxana Ghashghaei</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/3178.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study assessed the accuracy and reproducibility of ChatGPT's responses to heart failure-related questions. GPT-4 provided 100% accurate responses, while GPT-3.5 had two responses rated as partially correct and incorrect. GPT-4 performed better in comprehensive knowledge for basic knowledge and management, while GPT-3.5 performed best in management and other categories. The models' responses were highly reproducible. The conclusion is that if validated in future studies, ChatGPT may be a useful tool, but further rigorous testing and validation are needed. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">HEART LUNG AND CIRCULATION</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83551915/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/84030643" class="text-dark hover-underline">The literacy barrier in clinical trial consents: a retrospective analysis</a> </h4> <p class="text-ellipsis-2">Fatima N. Mirza, Eric Wu, Hael F. Abdulrazeq, Ian D. Connolly, Oliver Y. Tang, Cheryl K. Zogg, Theresa Williamson, Paul F. Galamaga, G. Dean Roye, Prakash Sampath, Albert E. Telfeian, Abrar A. Qureshi, Michael W. Groff, John H. Shin, Wael F. Asaad, Tiffany J. Libby, Ziya L. Gokaslan, Isaac S. Kohane, James Zou, Rohaid Ali</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/26529.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study analyzed the readability of informed consent forms in federally funded clinical trials and its relationship with the dropout rate of participants. The results showed that the readability of these consent forms was higher than the average reading level of adults in the US, which may affect the retention rate of participants. Exploratory analysis suggested that using a large language model to simplify consent forms had some effects. Future efforts should be made to further explore ways to improve clinical trial participation. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">ECLINICALMEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84030643/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Radiology, Nuclear Medicine & Medical Imaging </span> </div> <h4> <a href="https://www.peeref.com/works/83058440" class="text-dark hover-underline">The Application of Large Language Models for Radiologic Decision Making</a> </h4> <p class="text-ellipsis-2">Hossam A. Zaki, Andrew Aoun, Saminah Munshi, Hazem Abdel-Megid, Lleayem Nazario-Johnson, Sun Ho Ahn</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/8871.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study tested the ability of ChatGPT and Glass AI to predict appropriate imaging studies in radiology. Results showed that Glass AI performed better, especially in specific areas, indicating the benefits of additional medical-text training and supporting the potential of LLMs in radiologic decision-making. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83058440/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Computer Science, Artificial Intelligence </span> </div> <h4> <a href="https://www.peeref.com/works/83777074" class="text-dark hover-underline">Mechanical fault diagnosis of high voltage circuit breaker using multimodal data fusion</a> </h4> <p class="text-ellipsis-2">Tianhui Li, Yanwei Xia, Xianhai Pang, Jihong Zhu, Hui Fan, Li Zhen, Chaomin Gu, Chi Dong, Shijie Lu</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10981.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This paper studies the mechanical fault diagnosis of high voltage circuit breakers. By placing vibration sensors at four different locations and using a convolutional attention network to extract features, the detection of common mechanical faults is realized. The results show that the accuracy rate of this method is as high as 94.2%, which is superior to traditional methods. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">PEERJ COMPUTER SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83777074/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Pharmacology & Pharmacy </span> </div> <h4> <a href="https://www.peeref.com/works/83373399" class="text-dark hover-underline">Navigating the future of health care with AI-driven digital therapeutics</a> </h4> <p class="text-ellipsis-2">Nupur Vasdev, Tanisha Gupta, Bhakti Pawar, Anoothi Bain, Rakesh Kumar Tekade</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/2354.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Digital Therapeutics (DTx) is a new concept in healthcare that uses digital technologies to treat diseases and modify patient behavior. It offers a novel treatment approach for diseases where traditional medications are ineffective, through highly adaptable therapeutic devices and algorithms that enhance patient engagement and enable efficient clinical monitoring and supervision. With its convenience and personalized nature, DTx has the potential for a large global market. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">DRUG DISCOVERY TODAY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83373399/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Cardiac & Cardiovascular Systems </span> </div> <h4> <a href="https://www.peeref.com/works/83320960" class="text-dark hover-underline">Artificial intelligence-adjudicated spatiotemporal dispersion: A patient-unique fingerprint of persistent atrial fibrillation</a> </h4> <p class="text-ellipsis-2">Julien Seitz, Theophile Mohr Durdez, Sabine Lotteau, Clement Bars, Andre Pisapia, Edouard Gitenay, Jacques Monteau, Melanie Reist, Meryem Serdi, Amelie Dayot, Michel Bremondy, Mohamed Benadel, Sabrina Siame, Anthony Appetiti, Paola Milpied, Jerome Kalifa</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/3179.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to investigate the characteristics of artificial intelligence-adjudicated dispersion extent and distribution (AI-DED) in patients with persistent atrial fibrillation (PsAF) and its association with common clinical descriptors. The results showed that AI-DED is a unique feature of PsAF patients, independent of AF type and history. In addition, the most extensive AI-DED levels were not associated with poorer procedural and long-term outcomes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">HEART RHYTHM</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83320960/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Endocrinology & Metabolism </span> </div> <h4> <a href="https://www.peeref.com/works/82621150" class="text-dark hover-underline">Evaluating ChatGPT Responses on Thyroid Nodules for Patient Education</a> </h4> <p class="text-ellipsis-2">Daniel J. Campbell, Leonard E. Estephan, Elliott M. Sina, Eric V. Mastrolonardo, Rahul Alapati, Dev R. Amin, Elizabeth E. Cottrill</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/7819.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the quality of ChatGPT-generated responses for patient education on thyroid nodules. The results showed that ChatGPT generally provided appropriate answers, but the generated responses corresponded to a higher grade level. In addition, the high rate of AI hallucinations may make it unsuitable as an educational tool for patients. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">THYROID</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82621150/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Health Care Sciences & Services </span> </div> <h4> <a href="https://www.peeref.com/works/84818766" class="text-dark hover-underline">Assessing the Efficacy of ChatGPT Prompting Strategies in Enhancing Thyroid Cancer Patient Education: A Prospective Study</a> </h4> <p class="text-ellipsis-2">Qi Xu, Jing Wang, Xiaohui Chen, Jiale Wang, Hanzhi Li, Zheng Wang, Weihan Li, Jinliang Gao, Chen Chen, Yuwan Gao</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/4809.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to evaluate the effectiveness of ChatGPT in thyroid cancer patient education. By designing questions and generating answers under different prompt strategies, the study found that the type of prompt significantly affects the quality of the answers, with the statistics and references prompt being the most effective. In addition, the text generated by the prompt for the sixth-grade level was the easiest to understand. The study also found that most of the answers generated by ChatGPT referenced medical literature, but there were also errors or incorrect information. Therefore, when using the content generated by ChatGPT, it is necessary to conduct supervision and review. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF MEDICAL SYSTEMS</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84818766/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Gastroenterology & Hepatology </span> </div> <h4> <a href="https://www.peeref.com/works/83776120" class="text-dark hover-underline">ChatGPT4 Outperforms Endoscopists for Determination of Postcolonoscopy Rescreening and Surveillance Recommendations</a> </h4> <p class="text-ellipsis-2">Patrick W. Chang, Maziar M. Amini, Rio O. Davis, Denis D. Nguyen, Jennifer L. Dodge, Helen Lee, Sarah Sheibani, Jennifer Phan, James L. Buxbaum, Ara B. Sahakian</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/1808.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study compared ChatGPT4's colonoscopy recommendations for colorectal cancer rescreening and surveillance with contemporary guidelines and real-world gastroenterology practice. The results showed that ChatGPT4's recommendations were more consistent with the USMSTF panel than gastroenterology practice recommendations, and ChatGPT4 had good inter-rater reliability with the USMSTF panel. This suggests that ChatGPT4 can accurately determine routine colonoscopy screening intervals based on verbatim input of clinical data and has potential for clinical applications, but further training is needed for broad use. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">CLINICAL GASTROENTEROLOGY AND HEPATOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83776120/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/28658692" class="text-dark hover-underline">The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education</a> </h4> <p class="text-ellipsis-2">Jonathan J. Y. Heng, Desmond B. Teo, L. F. Tan</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/6819.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Artificial intelligence is rapidly advancing in the field of medicine. The emergence of Chat Generative Pre-trained Transformer (ChatGPT) has sparked both excitement and concerns among technology leaders, researchers, educators, and policy makers. AI is expected to revolutionize medicine with its potential benefits and limitations. Medical educators need to adapt and develop skills and curricula to effectively harness the innovative power of this new technology. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">POSTGRADUATE MEDICAL JOURNAL</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28658692/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/82930984" class="text-dark hover-underline">Evaluating Chatbot responses to patient questions in the field of glaucoma</a> </h4> <p class="text-ellipsis-2">Darren Ngiap Hao Tan, Yih-Chung Tham, Victor Koh, Seng Chee Loon, Maria Cecilia Aquino, Katherine Lun, Ching-Yu Cheng, Kee Yuan Ngiam, Marcus Tan</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10670.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the accuracy, comprehensiveness, and safety of ChatGPT in the field of glaucoma. The results showed that ChatGPT has some potential, but further research and validation are still needed. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">FRONTIERS IN MEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82930984/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Radiology, Nuclear Medicine & Medical Imaging </span> </div> <h4> <a href="https://www.peeref.com/works/83823532" class="text-dark hover-underline">Investing in Artificial fi cial Intelligence and Digital Health-What - What Radiology Innovators Need to Know</a> </h4> <p class="text-ellipsis-2">Gaye L. Bok</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/8871.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The diagnostic radiology market is growing rapidly and has strong innovation capabilities. Many professionals have the skills to develop innovations, but they need financial support. From the perspective of a venture capital partner, the article introduces the key considerations, criteria, and frameworks for investment, as well as the current funding environment. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83823532/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Radiology, Nuclear Medicine & Medical Imaging </span> </div> <h4> <a href="https://www.peeref.com/works/83362933" class="text-dark hover-underline">Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA</a> </h4> <p class="text-ellipsis-2">Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, John Slavotinek</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/8871.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The application of AI in radiology brings both opportunities and challenges. The development in this field requires critical evaluation of the utility of AI tools and differentiation between safe and potentially harmful products. In addition, the stability and safety of these tools in clinical use need to be monitored. This statement aims to provide a useful summary for all relevant parties. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83362933/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/82911986" class="text-dark hover-underline">Machine learning for catalysing the integration of noncoding RNA in research and clinical practice</a> </h4> <p class="text-ellipsis-2">David de Gonzalo-Calvo, Kanita Karaduzovic-Hadziabdic, Louise Torp Dalgaard, Christoph Dieterich, Manel Perez-Pons, Artemis Hatzigeorgiou, Yvan Devaux, Georgios Kararigas</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/10350.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article discusses the non-coding RNAs in the human transcriptome and their role in pathophysiological processes. It also explores the multiomic strategies that integrate non-coding transcriptomes with clinical records and other omic data, and the application of artificial intelligence in this field. The article further examines the potential and challenges of using AI/ML-driven approaches to identify clinically relevant ncRNA biomarkers and decode ncRNA-associated pathogenic mechanisms, including methodological and conceptual limitations, as well as ethical considerations. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">EBIOMEDICINE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82911986/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Radiology, Nuclear Medicine & Medical Imaging </span> </div> <h4> <a href="https://www.peeref.com/works/28780233" class="text-dark hover-underline">Enhancing Patient Communication With Chat-GPT in Radiology: Evaluating the Efficacy and Readability of Answers to Common Imaging-Related Questions</a> </h4> <p class="text-ellipsis-2">Emile B. Gordon, Alexander J. Towbin, Peter Wingrove, Umber Sha, Brian Haas, Andrea B. Kitts, Jill Feldman, Alessandro Furlan</p> <div class="d-flex mb-3"> <div class="flex-shrink-0 d-none d-sm-block"> <img src="https://peeref-open.s3.amazonaws.com/storage/images/covers/8871.jpg" alt="" class="border mr-3" width="100"> </div> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated ChatGPT's performance in answering patients' imaging-related questions, including accuracy, relevance, and readability, and explored the effect of simple prompts. The results showed that ChatGPT can provide accurate and relevant answers, but there is still room for improvement in accuracy and readability. Prompts can reduce the variability of responses and provide more targeted information. The study believes that ChatGPT has the potential to increase the accessibility of health information and simplify the production of educational materials for patients, but it requires cautious implementation and further research. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28780233/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_authors" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/82326649" class="text-dark hover-underline">Cytomegalovirus Corneal Endotheliitis: A Comprehensive Review</a> </h4> <p class="text-ellipsis-2">Woong-Sun Yoo, Lee-Ha Kwon, Youngsub Eom, Zheng Xian Thng, Christopher Or, Quan Dong Nguyen, Seong-Jae Kim</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> CMV corneal endotheliitis is a common eye disease in immunocompetent patients, with a relatively high incidence in middle-aged men. Its symptoms are similar to Posner-Schlossman syndrome and Fuchs uveitis, and if not treated in time, it may lead to corneal diseases or glaucoma. Early diagnosis and treatment are crucial for prognosis, and aqueous humor analysis can assist in diagnosis, and antiviral treatment can reduce the risk. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCULAR IMMUNOLOGY AND INFLAMMATION</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82326649/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/82551264" class="text-dark hover-underline">The Role of Corticosteroids and Immunomodulatory Therapy in the Management of Infectious Uveitis</a> </h4> <p class="text-ellipsis-2">Amir Akhavanrezayat, Gunay Uludag Kirimli, Wataru Matsumiya, Hassan Khojasteh, Christopher Or, Irmak Karaca, Brandon Pham, Prapatsorn Ongpalakorn, Sherin Lajevardi, Brandon Lam, Jaclyn Joyce Hwang, Ngoc Trong Tuong Than, Sungwho Park, Negin Yavari, Vahid Bazojoo, Azadeh Mobasserian, Anadi Khatri, Muhammad Sohail Halim, Zheng Xian Thng, Hashem Ghoraba, Diana V. Do, Ilknur Tugal-Tutkun, Vishali Gupta, Marc de Smet, Quan Dong Nguyen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The purpose of this study is to update the role of corticosteroids and immunomodulatory therapy in the management of patients with infectious uveitis. The results showed that corticosteroids and immunomodulatory therapy can adjust the inflammatory response to reduce the potential damage to ocular tissues. Systemic or local corticosteroids can be used as adjunctive drugs for infectious uveitis, and concomitant corticosteroids can also be used in cases of paradoxical worsening in ocular tuberculosis and cytomegalovirus retinitis. Although there is no clear evidence to support the use of IMT in infectious uveitis, it is occasionally used in the clinical setting to treat persistent inflammation after the resolution of the infection. There is no consensus on the role of immunomodulatory therapy in the management of infectious uveitis with different etiologies. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCULAR IMMUNOLOGY AND INFLAMMATION</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82551264/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83002626" class="text-dark hover-underline">Importance of Baseline Fluorescein Angiography for Patients Presenting to Tertiary Uveitis Clinic</a> </h4> <p class="text-ellipsis-2">Irmak Karaca, Albert Bromeo, Hashem Ghoraba, Xun Lyu, Zheng Xian Thng, Cigdem Yasar, Amir Akhavanrezayat, Negin Yavari, Gunay Uludag Kirimli, Ngoc Tuong Trong Than, Yongun Shin, Ankur Sudhir Gupta, Anadi Khatri, S. Saeed Mohammadi, Jia-Horung Hung, Christopher Or, Diana DO, Quan Dong Nguyen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to determine the role of ultra-widefield fluorescein angiography (UWFFA) in the baseline visit of patients with uveitis. The results showed that UWFFA could alter the assessment of disease activity, localization, and management decisions. Compared with clinical examination using only UWFFP and SD-OCT, UWFFA could detect more active diseases and cases with both anterior and posterior segment diseases, and could change the management decisions of some patients. Therefore, UWFFA can be used as an important tool in the evaluation of patients with uveitis. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">AMERICAN JOURNAL OF OPHTHALMOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83002626/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83845241" class="text-dark hover-underline">Efficacy and tolerability of subcutaneous repository corticotropin injection in refractory ocular inflammatory diseases</a> </h4> <p class="text-ellipsis-2">Negin Yavari, Hashem Ghoraba, Christopher Or, Zheng Xian Thng, S. Saeed Mohammadi, Irmak Karaca, Azadeh Mobasserian, Amir Akhavanrezayat, Anthony Le, Xun Lyu, Anadi Khatri, Woong Sun Yoo, Dalia El Feky, Ngoc Trong Tuong Than, Osama Elaraby, Aim-On Saengsirinavin, Xiaoyan Zhang, Frances Andrea Anover, Ankur Sudhir Gupta, Muhammad Sohail Halim, Louis A. Jison, Quan Dong Nguyen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to evaluate the efficacy and tolerability of subcutaneous RCI in patients with active scleritis or uveitis. The results showed that RCI may be a potential therapy with acceptable tolerability for these patients. However, further studies are needed to confirm these findings. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF OPHTHALMIC INFLAMMATION AND INFECTION</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83845241/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84300377" class="text-dark hover-underline">Validation of the Online Collaborative Ocular Tuberculosis Study Calculator for Tubercular Uveitis</a> </h4> <p class="text-ellipsis-2">Ludi Zhang, William Rojas-Carabali, Shannon Sheriel Choo, Zheng Xian Thng, Yuan Heng Lim, Bernett Lee, Song Wen Jun, Gazal Patnaik, Jyotirmay Biswas, Aniruddha Agarwal, Ilaria Testi, Sarakshi Mahajan, John H. Kempen, Justine R. Smith, Peter Mccluskey, Onn Min Kon, Quan Dong Nguyen, Carlos Pavesio, Vishali Gupta, Rupesh Agrawal</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the accuracy of the COTS calculator in guiding the initiation of ATT in patients with TBU. The results showed that the COTS calculator was more specific than clinician judgment, but less sensitive. This tool is suitable for high-prevalence, low-resource settings and can recommend ATT more selectively for genuine TBU cases. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JAMA OPHTHALMOLOGY</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84300377/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/28365147" class="text-dark hover-underline">The Infectious Uveitis Treatment Algorithm Network (TITAN) Report 1-global current practice patterns for the management of Herpes Simplex Virus and Varicella Zoster Virus anterior uveitis</a> </h4> <p class="text-ellipsis-2">Zheng Xian Thng, Ikhwanuliman R. Putera, Ilaria Testi, Kevin Chan, Mark Westcott, Soon-Phaik Chee, Andrew Dick, John I. Kempen, Bahram Bodaghi, Jennifer Thorne, Talin Barisani-Asenbauer, Marc W. de Smet, Justine Smith, Peter McCluskey, Rina La Distia Nora, Douglas Jabs, Joke de Boer, H. Nida Sen, Debra Goldstein, Moncef Khairallah, Janet Davis, James Rosenbaum, Nicholas Jones, Quan Dong Nguyen, Carlos Pavesio, Rupesh Agrawal, Vishali Gupta</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study presents current expert practice patterns and formulates a consensus for the management of HSV and VZV anterior uveitis (AU) worldwide. A survey was conducted among uveitis experts from multiple countries, and consensus guidelines were developed based on the responses. The study identified specific characteristics for HSV and VZV AU and recommended treatment options. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">EYE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28365147/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/28365233" class="text-dark hover-underline">The Infectious Uveitis Treatment Algorithm Network (TITAN) Report 2-global current practice patterns for the management of Cytomegalovirus anterior uveitis</a> </h4> <p class="text-ellipsis-2">Zheng Xian R. Thng, Ikhwanuliman Putera, Ilaria Testi, Kevin P. Chan, Mark Westcott, Soon-Phaik Chee, Andrew Dick, John I. Kempen, Bahram Bodaghi, Jennifer Thorne, Talin Barisani-Asenbauer, Marc W. de Smet, Justine Smith, Peter S. McCluskey, Rina La Distia Nora, Douglas Jabs, Joke de Boer, H. Nida Sen, Debra Goldstein, Moncef Khairallah, Janet Davis, James Rosenbaum, Nicholas Jones, Quan Dong Nguyen, Carlos Pavesio, Rupesh Agrawal, Vishali Gupta</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to present the current practice patterns in the diagnosis and management of CMV AU by uveitis experts worldwide. The results showed that there is considerable variation in diagnostic approaches and preferred management of CMV AU among experts. However, there was consensus on performing diagnostic aqueous tap and starting topical antiviral treatment. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">EYE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28365233/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/28863405" class="text-dark hover-underline">Association of a Bioimpedance Profile with Optical Coherence Tomography Features in Diabetic Macular Edema</a> </h4> <p class="text-ellipsis-2">Sunjin Hwang, Mincheol Seong, Min Ho Kang, Zheng Xian Thng, Heeyoon Cho, Yong Un Shin</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study examined the association between bioimpedance profiles and optical coherence tomography features in patients with diabetic macular edema. The results suggest a connection between systemic fluid status, including extracellular water-to-total body water ratio and phase angle, and DME development. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">JOURNAL OF CLINICAL MEDICINE</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28863405/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Medicine, General & Internal </span> </div> <h4> <a href="https://www.peeref.com/works/28908124" class="text-dark hover-underline">Structural and Functional Changes in Non-Paraneoplastic Autoimmune Retinopathy</a> </h4> <p class="text-ellipsis-2">Amir Akhavanrezayat, Anadi Khatri, Neil Gregory L. Onghanseng, Muhammad Sohail Halim, Christopher Or, Nripun Sredar, Moataz Razeen, Murat Hasanreisoglu, Jonathan Regenold, Zheng Xian Thng, S. Saeed Mohammadi, Tanya Jain, Negin Yavari, Vahid Bazojoo, Ankur Sudhir Gupta, Azadeh Mobasserian, Cigdem Yasar, Ngoc Trong Tuong Than, Gunay Uludag Kirimli, Irmak Karaca, Yong-Un Shin, Woong-Sun Yoo, Hashem Ghoraba, Diana V. Do, Alfredo Dubra, Quan Dong Nguyen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study utilizes multiple diagnostic modalities/tests to describe the longitudinal changes in patients with non-paraneoplastic autoimmune retinopathy (npAIR). The results show that wide-angle fundus photography, wide-angle fundus autofluorescence, and spectral-domain optical coherence tomography are commonly used methods to detect structural changes, while adaptive optics scanning laser ophthalmoscopy demonstrates better ability in capturing retinal microstructure changes during follow-ups. Functional changes can be detected through visual field, microperimetry, and electrophysiologic testing. Multimodal imaging/tests aid in the early detection of anomalous changes in npAIR patients. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">DIAGNOSTICS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/28908124/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/82790623" class="text-dark hover-underline">Response to the Comment on Evaluating the Diagnostic Accuracy and Management Recommendations of ChatGpt in Uveitis</a> </h4> <p class="text-ellipsis-2">William Rojas-Carabali, Carlos Cifuentes-Gonzalez, Xin Wei, Ikhwanuliman Putera, Alok Sen, Zheng Xian Thng, Rajdeep Agrawal, Tobias Elze, Lucia Sobrin, John H. Kempen, Bernett Lee, Jyotirmay Biswas, Quan Dong Nguyen, Vishali Gupta, Alejandra de-la-Torre, Rupesh Agrawal</p> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OCULAR IMMUNOLOGY AND INFLAMMATION</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82790623/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Pharmacology & Pharmacy </span> </div> <h4> <a href="https://www.peeref.com/works/82891198" class="text-dark hover-underline">Recent advances in uveitis therapy: focus on selected phase 2 and 3 clinical trials</a> </h4> <p class="text-ellipsis-2">Zheng Xian Thng, Albert John Bromeo, S. Saeed Mohammadi, Anadi Khatri, Anh N. T. Tran, Amir Akhavanrezayat, Ngoc T. T. Than, Khiem S. Nguyen, Woong-Sun Yoo, Azadeh Mobasserian, Christopher Chi Mong Or, Quan Dong Nguyen</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This review points out the unmet needs and insufficient research in uveitis pharmacotherapy, introduces novel ocular drug delivery methods and therapeutic targets/drugs, and evaluates the evidence from clinical trials. It suggests that the new generation of biologic drugs may be more effective with fewer side effects, but further studies are needed to clarify their role in treatment. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">EXPERT OPINION ON EMERGING DRUGS</span> (2023) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82891198/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Review </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/20491769" class="text-dark hover-underline">COVID-19 and immunosuppression: a review of current clinical experiences and implications for ophthalmology patients taking immunosuppressive drugs</a> </h4> <p class="text-ellipsis-2">Zheng Xian Thng, Marc D. De Smet, Cecilia S. Lee, Vishali Gupta, Justine R. Smith, Peter J. McCluskey, Jennifer E. Thorne, John H. Kempen, Manfred Zierhut, Quan Dong Nguyen, Carlos Pavesio, Rupesh Agrawal</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The emergence of SARS-CoV-2 in 2019 has raised concerns about the vulnerability of patients under immunosuppressive treatment during the COVID-19 pandemic. However, preliminary clinical experiences suggest that immunosuppressed patients may not have significantly different morbidity and mortality rates compared to the general population. Current global best practice guidelines recommend continuing immunosuppression treatment for patients who require it, except in cases involving high-dose corticosteroid therapy and patients with risk factors for severe COVID-19 disease. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">BRITISH JOURNAL OF OPHTHALMOLOGY</span> (2021) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/20491769/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> <div id="articles_from_journal" class="tab-pane "> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83952112" class="text-dark hover-underline">Diagnosing Glaucoma Based on the Ocular Hypertension Treatment Study Dataset Using Chat Generative Pre-Trained Transformer as a Large Language Model</a> </h4> <p class="text-ellipsis-2">Hina Raja, Xiaoqin Huang, Mohammad Delsoz, Yeganeh Madadi, Asma Poursoroush, Asim Munawar, Malik Y. Kahook, Siamak Yousefi</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the ability of ChatGPT to diagnose glaucoma. The results showed that ChatGPT 4.0 had high accuracy, but ChatGPT 3.5 was more sensitive. ChatGPT can be used as a tool to explore the disease status of ocular hypertension, and in the future, combining with multimodal capabilities is expected to improve diagnostic accuracy. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83952112/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83202399" class="text-dark hover-underline">A Comparative Study of Responses to Retina Questions from Either Experts, Expert-Edited Large Language Models, or Expert-Edited Large Language Models Alone</a> </h4> <p class="text-ellipsis-2">Prashant D. Tailor, Lauren A. Dalvin, John J. Chen, Raymond Iezzi, Timothy W. Olsen, Brittni A. Scruggs, Andrew J. Barkmeier, Sophie J. Bakri, Edwin H. Ryan, Peter H. Tang, D. Wilkin. Parke Iii, Peter J. Belin, Jayanth Sridhar, David Xu, Ajay E. Kuriyan, Yoshihiro Yonekawa, Matthew R. Starr</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study evaluated the quality, empathy, and safety of responses to common retina patient questions from expert-edited large language models (LLMs), human experts, and LLMs. The results showed that LLM responses were comparable to those of experts in terms of quality, empathy, and safety metrics, and expert-edited LLM responses performed better than expert-created responses, with time savings. The study concluded that LLMs have potential benefits in clinical settings and warrant further exploration. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83202399/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84057387" class="text-dark hover-underline">ChatGPT-Assisted Classification fi cation of Postoperative Bleeding Following Microinvasive Glaucoma Surgery Using Electronic Health Record Data</a> </h4> <p class="text-ellipsis-2">Abdulla Shaheen, Gabriele Gallo Afflitto, Swarup S. Swaminathan</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This is a study on the application of large language models in the classification of electronic health record text and the evaluation of hemorrhagic events after minimally invasive glaucoma surgery. The study shows that large language models can classify longitudinal electronic health record free-text examination data with high accuracy, highlighting a promising direction for future language model-assisted research and clinical decision support. Hemorrhagic events are relatively common self-limiting complications, which are more common in cases of goniotomy, and the larger the extent of goniotomy treatment, the higher the incidence. There is a significant difference in the resolution time of hemorrhagic events between goniotomy groups. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84057387/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84034470" class="text-dark hover-underline">Association of Lipopolysaccharide-Type Endotoxins with Retinal Neurodegeneration: The Alienor Study</a> </h4> <p class="text-ellipsis-2">Petra P. Larsen, Catherine Feart, Jean-Paul Pais de Barros, Laure Gayraud, Marie-Noelle Delyfer, Jean-Francois Korobelnik, Cedric Schweitzer, Cecile Delcourt</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study aimed to investigate the association of LPS blood biomarker with RNFL thickness and its longitudinal changes. The results showed that higher plasma esterified 3-OH FAs were significantly associated with thinner RNFLT at baseline, but not with longitudinal RNFLT changes. This suggests that LPS may be involved in the early processes of optic nerve neurodegeneration and highlights the potential importance of the human microbiota in preserving retinal health. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84034470/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83486251" class="text-dark hover-underline">Relationship between Neighborhood-Level Social Risk Factor Measures and Presenting Glaucoma Severity Utilizing Multilevel Modeling</a> </h4> <p class="text-ellipsis-2">Patrice M. Hicks, Ming-Chen Lu, Maria A. Woodward, Leslie M. Niziol, Deborah Darnley-Fisch, Michele Heisler, Kenneth Resnicow, David C. Musch, Jamie Mitchell, Roshanak Mehdipanah, Nauman R. Imami, Paula Anne Newman-Casey</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated the impact of neighborhood-level social risk factors on the severity of glaucoma at a tertiary eye care center. It found that several modifiable social risk factors were associated with worse presenting MD, and there were interactions with patients' race and Medicaid status. Policies to reduce neighborhood inequities could have a positive impact on vision outcomes. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83486251/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84080053" class="text-dark hover-underline">Analysis of ChatGPT Responses to Ophthalmic Cases: Can ChatGPT Think like an Ophthalmologist?</a> </h4> <p class="text-ellipsis-2">Jimmy S. Chen, Akshay J. Reddy, Eman Al-Sharif, Marissa K. Shoji, Fritz Gerald P. Kalaw, Medi Eslani, Paul Z. Lang, Malvika Arya, Zachary A. Koretz, Kyle A. Bolo, Justin J. Arnett, Aliya C. Roginiel, Jiun L. Do, Shira L. Robbins, Andrew S. Camp, Nathan L. Scott, Jolene C. Rudell, Robert N. Weinreb, Sally L. Baxter, David B. Granet</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to assess the accuracy of assessments and plans generated by ChatGPT and the ability of ophthalmologists to distinguish between its responses and those of clinicians. The results showed that ChatGPT could accurately identify the primary diagnoses in most cases, but its generated discussions had some issues. Ophthalmologists' performance in identifying the author was moderate, and they had a low opinion of the discussions generated by ChatGPT. This suggests that large language models have potential in the field of ophthalmology, but further evaluation and improvement are needed. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84080053/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83492092" class="text-dark hover-underline">Safety and Tolerability of Suprachoroidal Axitinib Injectable Suspension, for Neovascular Age-related Macular Degeneration; Phase I/IIa Open-Label, Dose-Escalation Trial</a> </h4> <p class="text-ellipsis-2">Mark R. Barakat, David Brown, Allen Hu, Rahul N. Khurana, Dennis Marcus, Joel Pearlman, Charles C. Wykoff, Barry Kapik, Thomas Ciulla</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> The study evaluated the safety and tolerability of axitinib injectable suspension (CLS-AX) in the treatment of neovascular age-related macular degeneration (nAMD). The results showed that CLS-AX was well tolerated and could maintain stable visual acuity and retinal thickness in patients, and most patients did not require aflibercept therapy within 6 months. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83492092/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83439861" class="text-dark hover-underline">Deep Learning-Based Clustering of OCT Images for Biomarker Discovery in Age-Related Macular Degeneration (PINNACLE Study Report 4)</a> </h4> <p class="text-ellipsis-2">Robbie Holland, Rebecca Kaye, Ahmed M. Hagag, Oliver Leingang, Thomas R. P. Taylor, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Daniel Rueckert, Andrew J. Lotery, Sobha Sivaprasad, Martin J. Menten</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This article presents a deep learning-based biomarker proposal system for accelerating biomarker discovery in AMD. The system discovers AMD-related features by training a neural network with self-supervised contrastive learning and partitions the images into clusters for description by retinal experts. The results show that the system can automatically propose AMD biomarkers beyond those used in established clinical grading systems and has good prognostic value. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83439861/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83207424" class="text-dark hover-underline">Special Commentary: My Perspective on Vision and Vision Rehabilitation</a> </h4> <p class="text-ellipsis-2">August Colenbrander</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> Vision is a powerful sense guiding our interaction with the environment. The author summarizes his experience in clinical ophthalmology, visual science, and vision rehabilitation, emphasizing the need for teamwork and understanding of cerebral processes. He also suggests that visual research should include the subconscious part and that vision rehabilitation should focus on the output side and the involvement of other senses. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83207424/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/83439977" class="text-dark hover-underline">Artificial Intelligence to Facilitate Clinical Trial Recruitment in Age-Related Macular Degeneration</a> </h4> <p class="text-ellipsis-2">Dominic J. Williamson, Robbert R. Struyven, Fares Antaki, Mark A. Chia, Siegfried K. Wagner, Mahima Jhingan, Zhichao Wu, Robyn Guymer, Simon S. Skene, Naaman Tammuz, Blaise Thomson, Reena Chopra, Pearse A. Keane</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study explores the role of AI in the recruitment of patients with geographic atrophy (GA) for clinical trials. The AI system can accurately identify more eligible patients and adjust to the imaging criteria of different clinical trials, generating customized shortlists. This study demonstrates the potential of AI in facilitating automated prescreening for clinical trials, enabling site feasibility assessments, protocol design, and cost reduction. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/83439977/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/82922041" class="text-dark hover-underline">Fluorescein Angiography Parameters in Premature Neonates</a> </h4> <p class="text-ellipsis-2">Natasha F. S. da Cruz, Sandra Hoyek, Jesse D. Sengillo, Ana Rodnguez, Giselle de Oliveira, Catherin I. Negron, Nimesh A. Patel, Audina M. Berrocal</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study retrospectively analyzed fluorescein angiography images of premature infants with retinopathy of prematurity, focusing on the timing of angiography phases and complications. The study found that the FA angiographic phases in preterm infants with ROP are variable and may occur earlier than the established references for adults. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82922041/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/82993146" class="text-dark hover-underline">Decreased Circulating Very Small Low-Density Lipoprotein is Likely Causal for Age-Related Macular Degeneration</a> </h4> <p class="text-ellipsis-2">Samaneh Farashi, Roberto Bonelli, Victoria E. Jackson, Brendan R. E. Ansell, Robyn H. Guymer, Melanie Bahlo</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to identify metabolites associated with AMD and evaluate their potential causal effects on the disease. The study found that age is a major risk factor for AMD and identified 84 metabolites significantly associated with AMD. Lipoprotein subclasses accounted for a large proportion of AMD-related metabolites, and some lipoproteins may have a causal role in AMD. In addition, a risk prediction model was constructed, and it was found that age is the main predictive factor, while the contribution of metabolites is relatively small. This study provides new insights into the metabopathological mechanisms of AMD. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2024) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/82993146/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84471493" class="text-dark hover-underline">Virtual Reality Portable Perimetry and Home Monitoring of Glaucoma: Retention and Compliance over a 2-year Period</a> </h4> <p class="text-ellipsis-2">Runjie B. Shi, Leo Y. Li-Han, Irfan N. Kherani, Graham E. Trope, Yvonne M. Buys, Willy Wong, Moshe Eizenman</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study aimed to evaluate the long-term retention, compliance, and performance of glaucoma patients using a virtual reality portable perimeter to monitor visual fields at home. The results showed that although there were some issues, glaucoma patients could reliably perform visual field tests at home, and home testing could provide supplementary information to improve the timely detection of visual field progression. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84471493/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 border-bottom"> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84853633" class="text-dark hover-underline">Decreased Choriocapillaris Vessel Density in the Ipsilateral Eye after Carotid Artery Revascularization Detected by Widefield Swept-Source OCT Angiography</a> </h4> <p class="text-ellipsis-2">Li Zhang, Jia-Wei Liu, Qing-Qing Tang, Chun-Yan Lei, Xue Lin, Sheng Gao, Tian-Yu Yang, Fa-Yun Hu, Mei-Xia Zhang</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study investigated the short-term changes in retinal and choroidal blood flow and image features in patients with severe carotid artery stenosis after carotid artery revascularization (CAR) using widefield swept-source OCTA. The results suggest that ocular microvascular perfusion is improved in both the ipsilateral and contralateral eyes within a wide field of the fundus after CAR. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84853633/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> <div class="my-4 "> <div> <span class="d-inline-block badge badge-blue"> Article </span> <span class="d-inline-block badge badge-cyan"> Ophthalmology </span> </div> <h4> <a href="https://www.peeref.com/works/84896689" class="text-dark hover-underline">Longitudinal Assessment of Structural and Functional Changes in Rod-cone Dystrophy: A 10-year Follow-up Study</a> </h4> <p class="text-ellipsis-2">Alexis Ceecee Britten-Jones, Chi D. Luu, Jasleen K. Jolly, Carla J. Abbott, Penelope J. Allen, Tina Lamey, Terri Mclaren, Jennifer A. Thompson, John De Roach, Thomas L. Edwards, Lauren N. Ayton</p> <div class="d-flex mb-3"> <div class="p-3 rounded bg-light-blue"> <strong>Summary:</strong> This study followed RCD patients for 10 years and found that many patients did not have a significant decline in VA, and there were differences in the interocular symmetry of disease progression. This emphasizes the importance of selecting appropriate outcome measures in IRD clinical trials. </div> </div> <div class="d-flex justify-content-between"> <p class="font-weight-bold"> <span class="text-primary">OPHTHALMOLOGY SCIENCE</span> (2025) </p> <div class="flex-shrink-0"> <a class="btn btn-outline-primary btn-sm" href="https://www.peeref.com/works/84896689/add-to-collection" target="_blank"> <strong>Add to Collection</strong> </a> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="modal fade" id="export-citation" tabindex="-1"> <div class="modal-dialog"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal"><span>×</span></button> <h4 class="modal-title">Export Citation <b class="text-primary"></b></h4> </div> <div class="modal-body"> <div class="my-3 px-4 f16"> <form action="https://www.peeref.com/works/citation/download" method="GET" target="_blank"> <div class="radio"> <label> <input 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Evaluation of the Appropriateness and Readability of ChatGPT-4 Responses to Patient Queries on Uveitis - Peeref