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Artificial Intelligence and the Lost Art of Auscultation

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By clicking any link on this page you are giving your consent for us to set cookies. <span><a href="/privacy-policy/" style="text-decoration: none; color: rgb(241, 214, 0);">More info</a></span></p> </div> <script type="text/javascript" src="/jsweb/jquery-1.11.2.min.js"></script><script type="text/javascript" src="/jsweb/news_desc_balancess.js"></script><style>@media screen and (max-width: 991px) {#stickyribbon2 {position: static !important;width: 260px !important;}} @media screen and (min-width: 720px) and (max-width: 1199px) {#byline_new{top: 40% !important;}.img-with-text-below{width: 50% !important;}}@media screen and (min-width: 320px){ p{ color: #2b2a2a; } h2{ font-family: 'Roboto',sans-serif; }}@media screen and (max-width:530px){ .sec5-border img{ width: auto !important; }}@media screen and (min-width: 1200px){ .img-with-text-below{width: 30% !important;} }.blue-h2 {color:#000; }.sec5-border {font-size:14px;}.slider-h2{padding-bottom:0px;}.sec5-border{background:0;margin-top:0px;}.slider-h2{margin-bottom:10px;}h1{font-size:23px; 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font-size:16px;"> <em style="color: black !important;">Edward Kersh, Medical Director, Sutter Care</em></font><em></em></h2> </h1> <div id="innovation"><table width="592" border="0" style="border-bottom:0px; border-left:0px; border-right:0px; border-top:0px;"><tbody><tr><td valign="top" align="left" style="border-bottom:0px; border-left:0px; border-right:0px; border-top:0px;display: inline-flex;"> <div id="conference" style="width: 67px;"> <a href="https://twitter.com/share?text=Artificial Intelligence and the Lost Art...-Attention is being turned to enhancing one...#healthcaretechoutlook via @HealthCareTO&url=https://ai-healthcare.healthcaretechoutlook.com/cxoinsights/artificial-intelligence-and-the-lost-art-of-auscultation-nid-2022.html" class="twitter-share-button">Tweet</a> <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, 'script', 'twitter-wjs');</script> </div> <div id="conference" style="margin-left: 9px;"> <div id="attend"> <script src="//platform.linkedin.com/in.js" type="text/javascript"> lang: en_US </script> <script type="IN/Share"></script> </div> </div> <div id="conference"> <div id="fb-root"></div> <script>(function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.async=true; js.src = "//connect.facebook.net/en_US/sdk.js#xfbml=1&appId=488639531237057&version=v2.0"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); </script> <div id="conference"> <div id="attend"> <div class="fb-share-button" data-href="https://ai-healthcare.healthcaretechoutlook.com/cxoinsights/artificial-intelligence-and-the-lost-art-of-auscultation-nid-2022.html" data-type="button"></div> </div> </div> </div> <div id="conference" style="width: 100px;"> <div id="conference"> <div id="attend"> <div class="g-plusone" data-annotation="none"></div> </div> </div> <script type="text/javascript"> (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/platform.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })(); </script> </div> </td> </tr></tbody></table> </div> <div id="borderlinestyle" style="margin-top: 0px !important;"> <img style="width: 100%;" src="https://www.cioapplications.com/images/line.png"> </div> </div> <p class="desc_css"> <p><div style="width:300px;" id="desc_img"><img alt="" src="https://www.healthcaretechoutlook.com/newstransfer/upload/dppp330030084984444.jpg" style="float:left; height:300px; margin-right:10px; width:300px" /><span style='font-weight: 800; font-size: 15px; width: 300px; text-align:left;color: #000; border-top: 1px dotted rgb(221, 221, 221); border-bottom: 1px dotted rgb(221, 221, 221); float:left; padding:0px 15px 0px 0px;'>Edward Kersh, Medical Director, Sutter Care</span></div><p>Attention is being turned to enhancing one of the most basic medical tools, the stethoscope.&nbsp; The question is can we improve our ability to hear and interpret the sounds produced by the human body with artificial intelligence (AI)?.&nbsp; We have seen this concept applied in radiology where the machine matches up favorably with the radiologist, and in cardiology with arrhythmia detection and pattern reading of electrocardiograms by computer.&nbsp; But, can AI be applied to the basic skill of auscultation?</p> <p>To examine this question, we need to go back two centuries to the &ldquo;ear trumpet&rdquo;, a tube and earpiece, first used by the French physician Rene Laennec in 1816, which revolutionized the medical examination.&nbsp; It took more than a century before this device was improved to the binaural device that we are familiar with today.&nbsp; About a decade ago, the electronic stethoscope was introduced to provide amplification.&nbsp;&nbsp;</p> <p>Amplification, however, did not improve accuracy.&nbsp; Studies have shown that only 60 percent to 80 percent of the time, physicians can hear a heart murmur when it is present.&nbsp; When making rounds with students, I would often hear a heart sound or murmur that was missed by those with better hearing.&nbsp; The reason was that my experience had taught me that a sound might be present, and if I focused and concentrated on hearing it, I would detect it.&nbsp; After pointing it out, the student would return to the patient and could then hear the sound or murmur.&nbsp;</p> <p><strong>&quot;Studies have shown that only 60 percent to 80 percent of the time, physicians can hear a heart murmur when it is present&quot;</strong></p> <p>Supplementing the electronic stethoscope with Bluetooth-enabled cloud-based technology provides amplification, visual display, transmission, storage, and interfaces with electronic records.&nbsp; Digitizing the data has opened the door for the application of artificial intelligence to the interpretation of auscultation.&nbsp;</p> <p>Artificial intelligence using Convolutional Neural Networks attempts to train a machine to perceive the world as humans do.&nbsp; An example of this would be facial recognition software. Currently, there is FDA approval for an artificial intelligence program interface with an electronic stethoscope to detect whether or not a heart murmur is present.&nbsp; The algorithm, however, can only detect a murmur and cannot determine the origin or severity.&nbsp; Here is where the human-AI interface can have an impact.&nbsp; Just as a clinician over-reads and approves or corrects the computer readout of an EKG, I can envision a skilled clinician reviewing the auscultation data, rendering an opinion, and directing appropriate evaluation.&nbsp;</p> <p>The enthusiasm for AI in clinical decision-making underscores the need for rigorous testing of these applications.&nbsp; Randomized clinical trials, similar to those done for new drugs and devices, which measure outcomes,need to be performed.&nbsp; Overenthusiastic claims that AI can outperform physicians could create a new specialty of <strong>medical fortune-tellers</strong> whose objective is not what is best for the patient but rather what is best for profitability.&nbsp;&nbsp;</p> <p>While the allure of AI is exciting, its use needs to be measured in terms of its success in enhancing the skill of the clinician, not as a precursor to his or her replacement.&nbsp; 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