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How to assess the quality of AI output when structuring unstructured medical data - Endpoints Webinars

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Human abstraction has long been considered the gold standard for extracting high quality information from EHR data. With the rise of NLP, large language models, and machine learning, the question becomes: how should we evaluate these new technologies against the traditional abstraction methods?</p> <p>Join Karim Galil and Sailu Challapalli as they walk through a breakthrough quality framework for understanding AI output. </p> <h5>In this webinar, we鈥檒l cover:</h5> <ul> <li>Challenges facing Real-World Evidence Organizations </li> <li>When should your organization use AI </li> <li>A Quality Framework to assess how AI performs</li> <li>How AI and Clinicians can work together</li> <li>Q&A</li> </ul> </div> <!-- abstract --> <div class="col-md-12 align-self-center sponsor-part">SPONSORED BY <a href="https://www.mendel.ai/" target="_blank" rel="noopener nofollow"><img src="/assets/images/how-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data/sponsor-logo.png"></a> </div> </div> </div> <div class="fixed-bottom cta-fixed"> <div class="container"> <div class="row d-flex"> <div class="col-md-3 align-self-center social order-3 order-md-1">SHARE ON <a href="https://www.linkedin.com/shareArticle?mini=true&source=https%3A%2F%2Fwebinars.endpts.com%2F&title=Endpoints+Webinars%3A+How+to+assess+the+quality+of+AI+output+when+structuring+unstructured+medical+data&url=https%3A%2F%2Fwebinars.endpts.com%2Fhow-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data" target="_blank" rel="noopener nofollow"><img src="/assets/images/social/social-linkedin.svg"></a> <a href="https://twitter.com/intent/tweet?text=Endpoints+Webinars%3A+How+to+assess+the+quality+of+AI+output+when+structuring+unstructured+medical+data+https%3A%2F%2Fwebinars.endpts.com%2Fhow-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data" target="_blank" rel="noopener nofollow"><img src="/assets/images/social/social-twitter.svg"></a> </div> <div class="col-md-5 order-1"> </div> <div class="col-md-4 align-self-center order-2"> <div class="reg-button" data-block-name="register">watch now</div> </div> </div> </div> </div> </section><section class="pt-5 register-section" id="register"> <div class="container register-states pt-4"> <div class="section-title mb-0">Watch the webinar on demand</div> <div class="col-md-4 m-auto"> <a class="reg-button" href="https://vimeo.com/831621204/932d86c357" target="_blank" rel="noopener nofollow">watch now</a> </div> </div> </section> <section class="speakers-section"> <div class="container"> <div class="row speaker-row align-items-top"> <div class="col-lg-3 col-sm-4 mb-lg-0 mb-4"> <img class="card-img rounded-circle" src="/assets/images/how-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data/panelists/KarimGalil.jpg" alt="Karim Galil" /> </div> <!-- speaker-photo --> <div class="col-lg-9 col-sm-8 speaker-info"> <h3>Karim Galil</h3> <h5>Founder and CEO, Mendel</h5> <p>Dr. Karim Galil, MD, is the CEO and Co-founder of <a href="https://www.mendel.ai/" target="_blank" rel="noopener nofollow">Mendel.ai</a>. Mendel's mission is to learn from every patient by structuring and de-identifying patient data at machine scale and human fidelity to power clinical and research use cases. Dr. Galil鈥檚 experience as a physician demonstrated that medicine does not advance at the same rate as technology. With Mendel, he aims to bridge this gap, facilitate clinical research at scale, and make medicine objective. Dr. Galil鈥檚 expertise in AI, medical informatics, and digital health makes him a sought-after presence at global conferences.</p> </div> <!-- speaker-info --> </div> <!-- speaker-row --> <div class="row speaker-row align-items-top"> <div class="col-lg-3 col-sm-4 mb-lg-0 mb-4"> <img class="card-img rounded-circle" src="/assets/images/how-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data/panelists/SailuChallapalli.jpg" alt="Sailu Challapalli" /> </div> <!-- speaker-photo --> <div class="col-lg-9 col-sm-8 speaker-info"> <h3>Sailu Challapalli</h3> <h5>Chief Product Officer, Mendel</h5> <p>Sailu Challapalli has two decades of experience in healthcare data and technology, consulting, and with health systems. She is currently the Chief Product Officer at Mendel.ai where she oversees Mendel鈥檚 product, design and customer delivery teams. At Mendel, Sailu works directly with the AI team to incorporate Mendel鈥檚 proprietary models and technology into an end-to-end AI data platform, front-end abstraction tools, and clinical data services that deliver high quality, structured data at scale. Sailu completed her BS and MEng degrees at MIT and received an MBA from Harvard Business School. </p> </div> <!-- speaker-info --> </div> <!-- speaker-row --> <div class="row speaker-row align-items-center"> <div class="col-lg-3 col-sm-4 mb-lg-0 mb-4"> <img class="card-img rounded-circle" src="/assets/images//how-to-assess-the-quality-of-ai-output-when-structuring-unstructured-medical-data/panelists/KariAbitbol.jpg" alt="Kari Abitbol"> </div> <!-- speaker-photo --> <div class="col-lg-9 col-sm-8 speaker-info"> <h6>moderator</h6> <h3>Kari Abitbol</h3> <h5>Director, Client Success, Endpoints News</h5> <p>As head of the client success team at Endpoints News, Kari oversees campaign delivery and strategy for all advertising and client-directed webinars. She brings nearly 20 years of diverse experience across strategic communications, content development and operational leadership.</p> </div> <!-- speaker-info --> </div> <!-- speaker-row --> </div> </section> <div class="modal" role="dialog" id="registration_success" aria-hidden="true"> <div class="modal-dialog modal-dialog-centered" role="document"> <div class="modal-content"> <div class="modal-header align-items-center"> <svg version="1.1" width="280px" class="d-inline-block align-top ew-logo" alt="Endpoints Webinars" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewbox="0 0 280 46" style="enable-background:new 0 0 280 46;" xml:space="preserve"> <path class="ew-logo-primary" d="M84.3,0.2l-7.7,24.1h-0.5l-8-24.1h-7.8l-7.3,24.1h-0.5L44.3,0.2h-4h-8.8H0V46h39l-3.9-10.2h-24v-8.1h20.6 L28.1,18h-17v-7.6h24.3L48.7,46h7.7l8-25.6h0.4L72.2,46h7.7L97.1,0.2H84.3z"/> <path class="ew-logo-secondary" 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