{"id":31940,"date":"2025-12-03T19:46:50","date_gmt":"2025-12-03T19:46:50","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=31940"},"modified":"2025-12-03T19:46:51","modified_gmt":"2025-12-03T19:46:51","slug":"new-ai-tool-to-train-the-next-generation-of-surgeons","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/new-ai-tool-to-train-the-next-generation-of-surgeons\/","title":{"rendered":"New AI Tool to Train the Next Generation of Surgeons"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">Researchers at Johns Hopkins University have developed a groundbreaking AI tool that provides real-time feedback to medical students practicing surgical techniques. This innovation aims to mitigate the growing shortage of surgeons and significantly improve medical training.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n\n\n\n<p>Faced with an increasing shortage of surgeons, a team at Johns Hopkins University has developed a pioneering artificial intelligence tool designed to coach medical students through complex surgical procedures.<\/p>\n<\/div><\/div>\n\n\n\n<p>The innovative technology, designed to provide real-time, personalized feedback, was recently showcased at the International Conference on Medical Image Computing and Computer Assisted Intervention. The AI system, trained using videos of expert surgeons, offers detailed guidance to students as they practice suturing.<\/p>\n\n\n\n<p>&#8220;We&#8217;re at a pivotal time. The provider shortage is ever increasing and we need to find new ways to provide more and better opportunities for practice. Right now, an attending surgeon who already is short on time needs to come in and watch students practice, and rate them, and give them detailed feedback \u2014 that just doesn&#8217;t scale,&#8221; senior author\u00a0Mathias Unberath, an expert in AI-assisted medicine, said in a news release. &#8220;The next best thing might be our explainable AI that shows students how their work deviates from expert surgeons.&#8221;<\/p>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"New AI Teaches Surgeons\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/JfH9YemYpNI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Currently, medical students rely heavily on videos of experts performing surgeries to learn new techniques. While existing AI models can rate students\u2019 performances, they often fall short in providing specific, actionable feedback. <\/p>\n\n\n\n<p>According to Unberath, these models fail to explain what students are doing right or wrong, which is crucial for effective self-training.<\/p>\n\n\n\n<p>&#8220;These models can tell you if you have high or low skill, but they struggle with telling you why,&#8221; he added. &#8220;If we want to enable meaningful self-training, we need to help learners understand what they need to focus on and why.&#8221;<\/p>\n\n\n\n<p>The team utilized &#8220;explainable AI,&#8221; a method that not only rates a student&#8217;s performance but also provides detailed instructions for improvement. <\/p>\n\n\n\n<p>The AI was trained by analyzing the hand movements of expert surgeons as they closed incisions. When students perform the same task, the AI offers immediate feedback, comparing their technique to that of the experts and suggesting ways to refine it.<\/p>\n\n\n\n<p>&#8220;Learners want someone to tell them objectively how they did,&#8221; added first author Catalina Gomez, a Johns Hopkins doctoral student in computer science. &#8220;We can calculate their performance before and after the intervention and see if they are moving closer to expert practice.&#8221;<\/p>\n\n\n\n<p>The researchers conducted a controlled study to evaluate the efficacy of the AI coaching method against traditional video-based learning. They randomly assigned 12 medical students with suturing experience to train using one of the two methods. Initial results showed that more experienced students coached by AI learned significantly faster than those who used videos.<\/p>\n\n\n\n<p>&#8220;In some individuals, the AI feedback has a big effect,&#8221; Unberath added. &#8220;Beginner students still struggled with the task, but students with a solid foundation in surgery, who are at the point where they can incorporate the advice, saw a great impact.&#8221;<\/p>\n\n\n\n<p>Moving forward, the team aims to refine the AI model to make it more accessible and user-friendly, potentially enabling students to practice at home with basic equipment and a smartphone.<\/p>\n\n\n\n<p>&#8220;We&#8217;d like to offer computer vision and AI technology that allows someone to practice in the comfort of their home with a suturing kit and a smart phone,&#8221; added Unberath. &#8220;This will help us scale up training in the medical fields. It&#8217;s really about how can we use this technology to solve problems.&#8221;<\/p>\n\n\n\n<div style=\"height:11px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source: <\/strong><a href=\"https:\/\/hub.jhu.edu\/2025\/12\/01\/artificial-intelligence-trains-surgeons\/\" title=\"\">Johns Hopkins University<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Faced with an increasing shortage of surgeons, a team at Johns Hopkins University has developed a pioneering artificial intelligence tool designed to coach medical students through complex surgical procedures. The innovative technology, designed to provide real-time, personalized feedback, was recently showcased at the International Conference on Medical Image Computing and Computer Assisted Intervention. The AI [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[72],"class_list":["post-31940","post","type-post","status-publish","format-standard","hentry","category-ai","tag-johns-hopkins-university"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"Faced with an increasing shortage of surgeons, a team at Johns Hopkins University has developed a pioneering artificial intelligence tool designed to coach medical students through complex surgical procedures. The innovative technology, designed to provide real-time, personalized feedback, was recently showcased at the International Conference on Medical Image Computing and Computer Assisted Intervention. The AI&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31940","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=31940"}],"version-history":[{"count":9,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31940\/revisions"}],"predecessor-version":[{"id":33699,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/31940\/revisions\/33699"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=31940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=31940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=31940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}