Research in Action: Orthopedic surgeons use machine learning to predict better patient outcomes and reduce costs

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He is also part of the team in the Department of Orthopaedic Surgery at the University of California, Los Angeles, that is working with international collaborators to build advanced machine learning (ML) models for hip and long bone fractures research. Dr. Shah and team received a grant from Oracle for Research to advance their research using Oracle Cloud to run high-powered ML models. Learn more about how Oracle for Research can help you speed up your research with grants, cloud computing, and hands-on support and expertise: &nbsp; "> <meta itemprop="name" content="Research in Action: Orthopedic surgeons use machine learning to predict better patient outcomes and reduce costs"> <meta itemprop="description" content="How is machine learning helping orthopedic surgeons predict better outcomes for patients? And how can those algorithms help predict how bone fracture surgery is approached? We will get those answers and much more on this episode with Dr. Akash Shah, Resident Physician in the Department of Orthopaedic Surgery at UCLA Medical Center. Dr. Shah received his Bachelor of Science at Duke University, and he went on to graduate from Harvard Medical School. He is also part of the team in the Department of Orthopaedic Surgery at the University of California, Los Angeles, that is working with international collaborators to build advanced machine learning (ML) models for hip and long bone fractures research. Dr. Shah and team received a grant from Oracle for Research to advance their research using Oracle Cloud to run high-powered ML models. 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Dr. Shah received his Bachelor of Science at Duke University, and he went on to graduate from Harvard Medical School. He is also part of the team in the Department of Orthopaedic Surgery at the University of California, Los Angeles, that is working with international collaborators to build advanced machine learning (ML) models for hip and long bone fractures research. Dr. Shah and team received a grant from Oracle for Research to advance their research using Oracle Cloud to run high-powered ML models. 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And how can those algorithms help predict how bone fracture surgery is approached? We will get those answers and much more on this episode with Dr. Akash Shah, Resident Physician in the Department of Orthopaedic Surgery at UCLA Medical Center. Dr. Shah received his Bachelor of Science at Duke University, and he went on to graduate from Harvard Medical School. He is also part of the team in the Department of Orthopaedic Surgery at the University of California, Los Angeles, that is working with international collaborators to build advanced machine learning (ML) models for hip and long bone fractures research. Dr. Shah and team received a grant from Oracle for Research to advance their research using Oracle Cloud to run high-powered ML models. Learn more about how Oracle for Research can help you speed up your research with grants, cloud computing, and hands-on support and expertise: <a href= "http://www.oracle.com/research">www.oracle.com/research</a></div> <div> </div> </p></p></div></div><hr>  <div id="comments" style="height:100%" class="fb-comments" data-href="https://researchinaction.libsyn.com/orthopedic-surgeons-use-machine-learning-to-predict-better-patient-outcomes-and-reduce-costs" data-width="100%" data-numposts="5"></div> </div>  </div>   <div id="aboutModal" class="modal fade" role="dialog"> <div class="modal-dialog">  <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal">×</button> <h4 class="modal-title">About the Podcast</h4> </div> <div class="modal-body"> <p>"Research in Action" explores the dynamic world of life sciences, covering drug discovery, clinical trials, therapeutic development, and the pivotal role of real-world data and technology in connecting clinical research with patient care. 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$(".libsyn-item iframe[src*='html5-player']").addClass('adjusted-player'); $(".libsyn-item-video iframe[src*='html5-player']").addClass('adjusted-player-video'); makeImagesResponsive(); } function makeImagesResponsive(){ $(".right-side img").addClass("img-responsive"); $(".left-side img").addClass("img-responsive"); } function getFBCommentCount(uri,element){ var apiUrl = "//graph.facebook.com/?ids=" + uri; var commentsCount = 0; $.ajax({ url: apiUrl, success: function(result) { if ( typeof result != "undefined" && result.hasOwnProperty(uri) && typeof result[uri].share != "undefined" ) { commentsCount = result[uri].share.comment_count; element.html('<i class="fa fa-comments" title="Leave a Comment"></i> ' + commentsCount + " Comment(s)"); } } }); return false; } function updateCommentsCount(){ $(".facebook-comments-count" ).each(function() { if($(this).html() == ""){ var pageIndex = $(this).data("uri"); getFBCommentCount(pageIndex,$(this)); } }); } $(function() { var lastScroll = 0; $('#main-menu').on('show.bs.collapse', function () { $(this).removeClass("navbar-fixed-top").addClass("navbar-static-top"); 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//change profile pic on scroll $(window).scroll(function(){ if($(window).scrollTop() > 225){ $(".profile").addClass('profile-small'); } else{ $(".profile").removeClass('profile-small'); } }); // get all premium episodes var show_id = '446736'; var id_prefix = "libsyn-item-"; var episode_ids = new Array(); // For some reason, this line was causing Firefox to become unresponsive. $('.libsyn-item-premium').each(function(index){ var id = $(this).data('id'); episode_ids.push(id); }); var episodes = (episode_ids.length > 0) ? episode_ids.join(',') : 0; noPremium(); //image modal $(document.body).on("click",".image-pop", function() { $('#imagepreview').attr('src', $(this).attr('src')); $('#imagemodal').modal('show'); }); updateCommentsCount(); }); if( $('#download_app_div').size() > 0 ){ var isMac = (navigator.platform.indexOf('Mac') != -1); var isIos = !!navigator.platform && (/iPad|iPhone|iPod/.test(navigator.platform) || isMac); if(isIos){ $.ajax({ type: 'GET', url: "//my.libsyn.com/app/generate-websuite-plist-url", data: {destination_id: 3743343}, dataType: 'jsonp', success:function(json){ console.log(json); if(typeof json.success != "undefined"){ if(json.success){ var plistAnchor = $('<a>').addClass('btn').addClass('btn-default').attr('aria-label','Download iOS App') .attr('href', 'itms-services://?action=download-manifest&url=' + encodeURIComponent(json.plist_url)).append( $('<i>').addClass('fa').addClass('fa-download').addClass('fa-5x') ).append('<div>Download/Install iOS App</div>'); $('#download_app_div').empty(); if(isMac){ $('#download_app_div').append($('<p>').html('If you are using an iPad, you may install the app below:')); } $('#download_app_div').append(plistAnchor); } else { $('#download_app_div').empty().html('An error has occurred:' + json.message); } } else { $('#download_app_div').empty().html('An error has occurred'); } }, error:function(xhr, textStatus, errorThrown){ $('#download_app_div').empty().html('An error has occurred: ' + textStatus); } }); } else { $('#download_app_div').empty().html('Sorry, app download is only available for iOS devices.'); } } $("#btn-send-contact").click(function(event){ event.preventDefault(); var error = ""; //validate var valid = true; $('#podcast-page-contact-form').find(':input:not(button)').each(function(){ var name = $(this).attr("name"); var value = $(this).val(); if (typeof name != 'undefined' && value == ""){ valid = false; return false; } }); if(valid){ //submit form var datastring = $("#podcast-page-contact-form").serialize(); $.ajax({ type: "POST", url: "https://web-support.libsyn.com/contact/submit", data: datastring, dataType: "json", success: function(data) { if(data == false){ error = "<strong>Error</strong> Your message could not be sent at this time. Please try again later."; $("#podcast-page-contact-form-error").html(error).fadeIn().delay(5000).fadeOut(); } else { $('#podcast-page-contact-form').find(":input").val("").hide(); $('#podcast-page-contact-form').fadeOut(); $("#podcast-page-contact-form-success").show(); } }, error: function() { error = "<strong>Error</strong> Your message could not be sent at this time. Please try again later."; $("#podcast-page-contact-form-error").html(error).fadeIn().delay(5000).fadeOut(); } }); } else { error = "<strong>Error</strong> Please fill out all fields and submit again."; $("#podcast-page-contact-form-error").html(error).fadeIn().delay(5000).fadeOut(); return false; } }); //check if episode began playing on home page var playerData = localStorage.getItem(window.location.href); try { var playerData = JSON.parse(playerData); if(typeof(playerData.elapsed) != "undefined" && playerData.elapsed != "00:00:00"){ var iframeId = "embed_26209485"; var iframeSrc = $("#"+iframeId).attr("src"); newSrc = iframeSrc + "time-start/" + playerData.elapsed; $("#"+iframeId).attr('src', newSrc); localStorage.removeItem(window.location.href); } } catch (e) { //Not what we were looking for localStorage.removeItem(window.location.href); } </script> </body> </html>

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