{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T06:08:24Z","timestamp":1789106904210,"version":"build-2803163510"},"reference-count":23,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Annals of Gastroent Surgery"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>Artificial Intelligence (AI)\u2010assisted anatomical recognition may help surgeons recognize intraoperative adverse events missed during surgery. We evaluated whether AI\u2010enhanced videos improved recognition of ureteral and pancreatic injuries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this two\u2010institution randomized video\u2010review study using historical laparoscopic colorectal surgery videos, 150 surgeons reviewed either EUREKA\u2010generated AI\u2010enhanced videos or unenhanced videos. Five videos were reviewed: three actual injury videos, including unrecognized injuries, and two clinically comparable no\u2010injury control videos. The primary outcome was correct injured\u2010organ recognition. Secondary outcomes included recognition within the predefined injury time\u2010code window and correct no\u2010adverse\u2010event judgment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Seventy\u2010five surgeons were assigned to each group, with no significant baseline differences. AI\u2010enhanced videos improved ureteral injury recognition in Video A (40.0% vs. 22.7%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.022) and Video C (50.7% vs. 28.0%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01). Time\u2010code window recognition was greater for Video A (20.0% vs. 5.3%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) and Video C (18.7% vs. 4.0%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01). Pancreatic injury recognition in Video D did not differ overall (77.3% vs. 70.7%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.352) but was greater among surgeons without advanced laparoscopic certification (81.3% vs. 63.3%;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.048). Correct no\u2010adverse\u2010event judgments did not differ between groups.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI\u2010generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries under controlled video\u2010review conditions without increasing incorrect adverse\u2010event judgments. These findings provide proof\u2010of\u2010concept evidence that AI\u2010generated overlays may support timely recognition of clinically important intraoperative adverse events. Prospective intraoperative studies are needed to determine whether this recognition benefit facilitates earlier management, changes operative decision\u2010making, reduces complications, or improves patient outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial Registration<\/jats:title>\n                    <jats:p>UMIN\u2010CTR; UMIN ID: UMIN000059439<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ags3.70267","type":"journal-article","created":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T03:56:16Z","timestamp":1787630176000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>AI<\/scp>\n                    \u2010Assisted Recognition of Actual Ureteral and Pancreatic Injuries in Laparoscopic Colorectal Surgery: A Randomized Video Review Study"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7484-049X","authenticated-orcid":false,"given":"Shunjin","family":"Ryu","sequence":"first","affiliation":[{"name":"Department of Digestive Surgery Kawaguchi Municipal Medical Center  Kawaguchi Saitama Japan"},{"name":"Department of Surgery The Jikei University School of Medicine  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3119-6176","authenticated-orcid":false,"given":"Teppei","family":"Kamada","sequence":"additional","affiliation":[{"name":"Department of Surgery The Jikei University School of Medicine  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Neki","sequence":"additional","affiliation":[{"name":"Department of Surgery Machida Municipal Hospital  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asuka","family":"Kuwashima","sequence":"additional","affiliation":[{"name":"Anaut Inc  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuta","family":"Imaizumi","sequence":"additional","affiliation":[{"name":"Department of Digestive Surgery Kawaguchi Municipal Medical Center  Kawaguchi Saitama Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunsuke","family":"Nakashima","sequence":"additional","affiliation":[{"name":"Department of Digestive Surgery Kawaguchi Municipal Medical Center  Kawaguchi Saitama Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuhiro","family":"Takano","sequence":"additional","affiliation":[{"name":"Department of Surgery The Jikei University School of Medicine  Tokyo 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