{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T12:22:50Z","timestamp":1793017370857,"version":"4.5.0"},"reference-count":15,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T00:00:00Z","timestamp":1663113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Japanese Ministry of Health, Labour and Welfare","award":["20AC1006"],"award-info":[{"award-number":["20AC1006"]}]},{"name":"Japanese Ministry of Health, Labour and Welfare","award":["JP20vk0124003"],"award-info":[{"award-number":["JP20vk0124003"]}]},{"DOI":"10.13039\/100009619","name":"AMED","doi-asserted-by":"publisher","award":["20AC1006"],"award-info":[{"award-number":["20AC1006"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009619","name":"AMED","doi-asserted-by":"publisher","award":["JP20vk0124003"],"award-info":[{"award-number":["JP20vk0124003"]}],"id":[{"id":"10.13039\/100009619","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>An artificial intelligence-based system was implemented for preoperative safety management in cataract surgery, including facial recognition, laterality (right and left eye) confirmation, and intraocular lens (IOL) parameter verification. A deep-learning model was constructed with a face identification development kit for facial recognition, the You Only Look Once Version 3 (YOLOv3) algorithm for laterality confirmation, and the Visual Geometry Group-16 (VGG-16) for IOL parameter verification. In 171 patients who were undergoing phacoemulsification and IOL implantation, a mobile device (iPad mini, Apple Inc.) camera was used to capture patients\u2019 faces, location of surgical drape aperture, and IOL parameter descriptions on the packages, which were then checked with the information stored in the referral database. The authentication rates on the first attempt and after repeated attempts were 92.0% and 96.3% for facial recognition, 82.5% and 98.2% for laterality confirmation, and 67.4% and 88.9% for IOL parameter verification, respectively. After authentication, both the false rejection rate and the false acceptance rate were 0% for all three parameters. An artificial intelligence-based system for preoperative safety management was implemented in real cataract surgery with a passable authentication rate and very high accuracy.<\/jats:p>","DOI":"10.3390\/jcm11185397","type":"journal-article","created":{"date-parts":[[2022,9,14]],"date-time":"2022-09-14T23:16:36Z","timestamp":1663197396000},"page":"5397","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Deep Learning-Based System for Preoperative Safety Management in Cataract Surgery"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7104-8392","authenticated-orcid":false,"given":"Gaku","family":"Kiuchi","sequence":"first","affiliation":[{"name":"Department of Ophthalmology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba 305-8575, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mao","family":"Tanabe","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji 671-1227, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katsunori","family":"Nagata","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji 671-1227, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naofumi","family":"Ishitobi","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji 671-1227, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hitoshi","family":"Tabuchi","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji 671-1227, Japan"},{"name":"Department of Technology and Design Thinking for Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9071-7018","authenticated-orcid":false,"given":"Tetsuro","family":"Oshika","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba 305-8575, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.yasu.2008.03.004","article-title":"Wrong-site surgery: Can we prevent it?","volume":"42","author":"Clarke","year":"2008","journal-title":"Adv. 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