{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T02:15:42Z","timestamp":1790388942384,"version":"4.1.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T00:00:00Z","timestamp":1757721600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T00:00:00Z","timestamp":1757721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"a joint research fund from Anaut, Inc."}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Surg Endosc"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Although the high accuracy of artificial intelligence (AI) for recognizing surgical anatomy has been reported, its effective usage remains unclear. In this study, we investigated the utility of AI in surgical education for medical students.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Fifth-grade medical students were recruited to investigate the educational utility of EUREKA\u2122. After an introductory lecture, they watched a video of distal gastrectomy with or without the suggestion of the connective tissue and the pancreas by EUREKA\u2122 and then drew dissection lines in still images captured from the video. The distance between the lines drawn by students and the optimal dissection line determined by an expert surgeon was integrated to evaluate how well the students appropriately recognized the dissection line. Students filled out questionnaires after the study. A total of 45 operative video frames from radical gastrectomies performed with three different robotic systems were analyzed. The accuracy of the EUREKA\u2122 recognition of the connective tissue and the pancreas was assessed using Dice and Intersection over Union (IoU) as a measurement tool.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Twelve students participated in the study, and nine students drew dissection lines. All students completed questionnaires. The students could recognize dissection lines more appropriately with the EUREKA\u2122 suggestion, and the deviations between the dissection lines drawn by the students and the optimal dissection lines were significantly reduced. From the questionnaires completed by the students, eight students agreed with the possibility of AI to facilitate their understanding of the operation, and two students agreed with the potential of AI to increase the number of medical students who choose gastrointestinal surgery as their career. There were no differences in the DICE and IoU scores of the connective tissue and the pancreas between the three robotic systems, suggesting the versatility of the EUREKA\u2122 system.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI may facilitate students\u2019 understanding of surgery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1007\/s00464-025-12205-2","type":"journal-article","created":{"date-parts":[[2025,9,13]],"date-time":"2025-09-13T14:18:18Z","timestamp":1757773098000},"page":"7078-7086","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Artificial intelligence-supported system of surgical anatomy recognition may facilitate the understanding of gastrointestinal surgery for medical students"],"prefix":"10.1007","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1480-4101","authenticated-orcid":false,"given":"Shintaro","family":"Okumura","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shigeru","family":"Tsunoda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shigeo","family":"Hisamori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoichi","family":"Kitano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kohei","family":"Ueno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masazumi","family":"Sakaguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Yoshida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takashi","family":"Sakamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takehito","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryosuke","family":"Okamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keiko","family":"Kasahara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiro","family":"Maeda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nobuaki","family":"Hoshino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoshiro","family":"Itatani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koya","family":"Hida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazutaka","family":"Obama","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,13]]},"reference":[{"key":"12205_CR1","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1007\/s00595-022-02601-9","volume":"53","author":"H Shinohara","year":"2023","unstructured":"Shinohara H (2023) Surgery utilizing artificial intelligence technology: why we should not rule it out. 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Shigeru Tsunoda M.D., Ph.D., Shigeo Hisamori M.D., Ph.D., Shoichi Kitano M.D., Kohei Ueno M.D., Masazumi Sakaguchi M.D., Ph.D., Yu Yoshida M.D., Ph.D., Takashi Sakamoto M.D., Ph.D., Takehito Yamamoto M.D., Ph.D., Ryosuke Okamura M.D., Ph.D., Masahiro Maeda M.D., Ph.D., and Yoshiro Itatani M.D., Ph.D. have no conflicts of interest or financial ties to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure"}}]}}