{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T12:35:22Z","timestamp":1790771722632,"version":"4.1.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["OBES SURG"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s11695-023-07043-x","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T11:02:27Z","timestamp":1704452547000},"page":"330-336","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Implementation of Artificial Intelligence\u2013Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3065-741X","authenticated-orcid":false,"given":"Danit","family":"Dayan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,1,5]]},"reference":[{"issue":"1","key":"7043_CR1","doi-asserted-by":"publisher","first-page":"781868","DOI":"10.3389\/fradi.2021.781868","volume":"13","author":"S Wang","year":"2021","unstructured":"Wang S, Cao G, Wang Y, et al. Review and prospect: artificial intelligence in advanced medical imaging. Front Radiol. 2021;13(1):781868. https:\/\/doi.org\/10.3389\/fradi.2021.781868.","journal-title":"Front Radiol"},{"issue":"2","key":"7043_CR2","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1097\/ALN.0000000000002960","volume":"132","author":"DA Hashimoto","year":"2020","unstructured":"Hashimoto DA, Witkowski E, Gao L, et al. Artificial intelligence in anesthesiology: current techniques, clinical applications, and limitations. Anesthesiology. 2020;132(2):379\u201394. https:\/\/doi.org\/10.1097\/ALN.0000000000002960.","journal-title":"Anesthesiology"},{"issue":"6","key":"7043_CR3","doi-asserted-by":"publisher","first-page":"1524","DOI":"10.3390\/cancers14061524","volume":"14","author":"B Hunter","year":"2022","unstructured":"Hunter B, Hindocha S, Lee RW. The role of artificial intelligence in early cancer diagnosis. Cancers (Basel). 2022;14(6):1524. https:\/\/doi.org\/10.3390\/cancers14061524.","journal-title":"Cancers (Basel)"},{"issue":"1","key":"7043_CR4","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1097\/SLA.0000000000002693","volume":"268","author":"DA Hashimoto","year":"2018","unstructured":"Hashimoto DA, Rosman G, Rus D, et al. Artificial intelligence in surgery: promises and perils. Ann Surg. 2018;268(1):70\u20136. https:\/\/doi.org\/10.1097\/SLA.0000000000002693.","journal-title":"Ann Surg"},{"issue":"5","key":"7043_CR5","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1001\/jamasurg.2018.5247","volume":"154","author":"JB Dimick","year":"2019","unstructured":"Dimick JB, Scott JW. A video is worth a thousand operative notes. JAMA Surg. 2019;154(5):389\u201390. https:\/\/doi.org\/10.1001\/jamasurg.2018.5247.","journal-title":"JAMA Surg"},{"issue":"Pt 1","key":"7043_CR6","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1007\/11866565_52","volume":"9","author":"SA Ahmadi","year":"2006","unstructured":"Ahmadi SA, Sielhorst T, Stauder R, et al. Recovery of surgical workflow without explicit models. Med Image Comput Comput Assist Interv. 2006;9(Pt 1):420\u20138. https:\/\/doi.org\/10.1007\/11866565_52.","journal-title":"Med Image Comput Comput Assist Interv"},{"issue":"8","key":"7043_CR7","doi-asserted-by":"publisher","first-page":"2772","DOI":"10.1007\/s11695-022-06146-1","volume":"32","author":"M Bekta\u015f","year":"2022","unstructured":"Bekta\u015f M, Reiber BMM, Pereira JC, et al. Artificial intelligence in bariatric surgery: current status and future perspectives. Obes Surg. 2022;32(8):2772\u201383. https:\/\/doi.org\/10.1007\/s11695-022-06146-1.","journal-title":"Obes Surg"},{"issue":"4","key":"7043_CR8","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1097\/SLA.0000000000004425","volume":"273","author":"CR Garrow","year":"2021","unstructured":"Garrow CR, Kowalewski KF, Li L, et al. Machine learning for surgical phase recognition: a systematic review. Ann Surg. 2021;273(4):684\u201393. https:\/\/doi.org\/10.1097\/SLA.0000000000004425.","journal-title":"Ann Surg"},{"issue":"6","key":"7043_CR9","doi-asserted-by":"publisher","first-page":"4298","DOI":"10.1007\/s00464-023-10041-w","volume":"37","author":"K NyangohTimoh","year":"2023","unstructured":"NyangohTimoh K, Huaulme A, Cleary K, et al. A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video. Surg Endosc. 2023;37(6):4298\u2013314. https:\/\/doi.org\/10.1007\/s00464-023-10041-w.","journal-title":"Surg Endosc"},{"issue":"5","key":"7043_CR10","doi-asserted-by":"publisher","first-page":"1937","DOI":"10.1007\/s11695-020-05207-7","volume":"31","author":"L Angrisani","year":"2021","unstructured":"Angrisani L, Santonicola A, Iovino P, et al. Bariatric surgery survey 2018: similarities and disparities among the 5 IFSO chapters. Obes Surg. 2021;31(5):1937\u201348. https:\/\/doi.org\/10.1007\/s11695-020-05207-7.","journal-title":"Obes Surg"},{"issue":"4","key":"7043_CR11","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1016\/j.soard.2016.10.006","volume":"13","author":"\u017d Juodeikis","year":"2017","unstructured":"Juodeikis \u017d, Brimas G. Long-term results after sleeve gastrectomy: a systematic review. Surg Obes Relat Dis. 2017;13(4):693\u20139. https:\/\/doi.org\/10.1016\/j.soard.2016.10.006.","journal-title":"Surg Obes Relat Dis."},{"issue":"6","key":"7043_CR12","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1016\/j.soard.2018.02.027","volume":"14","author":"B Clapp","year":"2018","unstructured":"Clapp B, Wynn M, Martyn C, et al. Long term (7 or more years) outcomes of the sleeve gastrectomy: a meta-analysis. Surg Obes Relat Dis. 2018;14(6):741\u20137. https:\/\/doi.org\/10.1016\/j.soard.2018.02.027.","journal-title":"Surg Obes Relat Dis"},{"issue":"10","key":"7043_CR13","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1016\/j.soard.2016.01.013","volume":"12","author":"GA Arman","year":"2016","unstructured":"Arman GA, Himpens J, Dhaenens J, et al. Long-term (11+years) outcomes in weight, patient satisfaction, comorbidities, and gastroesophageal reflux treatment after laparoscopic sleeve gastrectomy. Surg Obes Relat Dis. 2016;12(10):1778\u201386. https:\/\/doi.org\/10.1016\/j.soard.2016.01.013.","journal-title":"Surg Obes Relat Dis"},{"issue":"8","key":"7043_CR14","doi-asserted-by":"publisher","first-page":"3453","DOI":"10.1007\/s11695-021-05475-x","volume":"31","author":"DM Felsenreich","year":"2021","unstructured":"Felsenreich DM, Artemiou E, Steinlechner K, et al. Fifteen years after sleeve gastrectomy: weight loss, remission of associated medical problems, quality of life, and conversions to Roux-en-Y gastric bypass-long-term follow-up in a multicenter study. Obes Surg. 2021;31(8):3453\u201361. https:\/\/doi.org\/10.1007\/s11695-021-05475-x.","journal-title":"Obes Surg."},{"issue":"8","key":"7043_CR15","doi-asserted-by":"publisher","first-page":"3427","DOI":"10.1007\/s11695-021-05437-3","volume":"31","author":"M Kraljevi\u0107","year":"2021","unstructured":"Kraljevi\u0107 M, Cordasco V, Schneider R, et al. Long-term effects of laparoscopic sleeve gastrectomy: what are the results beyond 10 years? Obes Surg. 2021;31(8):3427\u201333. https:\/\/doi.org\/10.1007\/s11695-021-05437-3.","journal-title":"Obes Surg"},{"issue":"12","key":"7043_CR16","doi-asserted-by":"publisher","first-page":"5267","DOI":"10.1007\/s11695-021-05735-w","volume":"31","author":"M Musella","year":"2021","unstructured":"Musella M, Berardi G, Velotti N, et al. Ten-year results of laparoscopic sleeve gastrectomy: retrospective matched comparison with laparoscopic adjustable gastric banding-is there a significant difference in long term? Obes Surg. 2021;31(12):5267\u201374. https:\/\/doi.org\/10.1007\/s11695-021-05735-w.","journal-title":"Obes Surg"},{"issue":"11","key":"7043_CR17","doi-asserted-by":"publisher","first-page":"3565","DOI":"10.1007\/s11695-023-06824-8","volume":"33","author":"A Vitiello","year":"2023","unstructured":"Vitiello A, Abu-Abeid A, Dayan D, Berardi G, Musella M. Long-term results of laparoscopic sleeve gastrectomy: a review of studies reporting 10+ years outcomes. Obes Surg. 2023;33(11):3565\u201370. https:\/\/doi.org\/10.1007\/s11695-023-06824-8.","journal-title":"Obes Surg."},{"issue":"3","key":"7043_CR18","doi-asserted-by":"publisher","first-page":"523","DOI":"10.1097\/SLA.0000000000004207","volume":"272","author":"JR Korndorffer Jr","year":"2020","unstructured":"Korndorffer JR Jr, Hawn MT, Spain DA, et al. Situating artificial intelligence in surgery: a focus on disease severity. Ann Surg. 2020;272(3):523\u20138. https:\/\/doi.org\/10.1097\/SLA.0000000000004207.","journal-title":"Ann Surg"},{"issue":"11","key":"7043_CR19","doi-asserted-by":"publisher","first-page":"8818","DOI":"10.1007\/s00464-023-10375-5","volume":"37","author":"M Ortenzi","year":"2023","unstructured":"Ortenzi M, Rapoport Ferman J, Antolin A, Bar O, Zohar M, Perry O, Asselmann D, Wolf T. A novel high accuracy model for automatic surgical workflow recognition using artificial intelligence in laparoscopic totally extraperitoneal inguinal hernia repair (TEP). Surg Endosc. 2023;37(11):8818\u201328. https:\/\/doi.org\/10.1007\/s00464-023-10375-5.","journal-title":"Surg Endosc"},{"key":"7043_CR20","unstructured":"Zohar M, Bar O, Neimark D, Hager GD, Asselmann D. Accurate detection of out of body segments in surgical video using semi-supervised learning. In: Proceedings of the 3rd conference on medical imaging with deep learning, 2020;923\u2013936."},{"issue":"1","key":"7043_CR21","doi-asserted-by":"publisher","first-page":"22208","DOI":"10.1038\/s41598-020-79173-6","volume":"10","author":"O Bar","year":"2020","unstructured":"Bar O, Neimark D, Zohar M, et al. Impact of data on generalization of AI for surgical intelligence applications. Sci Rep. 2020;10(1):22208. https:\/\/doi.org\/10.1038\/s41598-020-79173-6.","journal-title":"Sci Rep"},{"key":"7043_CR22","first-page":"3163","volume":"2021","author":"D Neimark","year":"2021","unstructured":"Neimark D, Bar O, Zohar M, et al. Video trans- former network. Proc IEEE\/CVF Int Conf Comput Vis. 2021;2021:3163\u201372.","journal-title":"Proc IEEE\/CVF Int Conf Comput Vis"},{"key":"7043_CR23","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S, Uszkoreit J, Houlsby N. An image is worth 16x16 words: transformers for image recognition at scale, 2021; arXiv preprint. https:\/\/arXiv:2010.11929."},{"key":"7043_CR24","unstructured":"Goodfellow I, Bengio Y, Courville A. Deep learning. Cambridge: MIT; 2016."},{"issue":"3","key":"7043_CR25","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1097\/SLA.0000000000003460","volume":"270","author":"DA Hashimoto","year":"2019","unstructured":"Hashimoto DA, Rosman G, Witkowski ER, et al. Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy. Ann Surg. 2019;270(3):414\u201321. https:\/\/doi.org\/10.1097\/SLA.0000000000003460.","journal-title":"Ann Surg"},{"issue":"9","key":"7043_CR26","doi-asserted-by":"publisher","first-page":"2634","DOI":"10.1007\/s11695-018-3219-7","volume":"28","author":"MA Kaijser","year":"2018","unstructured":"Kaijser MA, van Ramshorst GH, Emous M, et al. A Delphi Consensus of the crucial steps in gastric bypass and sleeve gastrectomy procedures in the Netherlands. Obes Surg. 2018;28(9):2634\u201343. https:\/\/doi.org\/10.1007\/s11695-018-3219-7.","journal-title":"Obes Surg"},{"key":"7043_CR27","doi-asserted-by":"publisher","unstructured":"Lavanchy JL, Vardazaryan A, Mascagni P; AI4SafeChole Consortium; Mutter D, Padoy N. Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos. Sci Rep. 2023;13(1):9235. https:\/\/doi.org\/10.1038\/s41598-023-36453-1.","DOI":"10.1038\/s41598-023-36453-1"},{"key":"7043_CR28","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1016\/j.amjsurg.2014.12.013","volume":"4","author":"AL D'Angelo","year":"2015","unstructured":"D\u2019Angelo AL, Rutherford DN, Ray RD, et al. Idle time: an underdeveloped performance metric for assessing surgical skill. Am J Surg. 2015;4:645\u201351. https:\/\/doi.org\/10.1016\/j.amjsurg.2014.12.013.","journal-title":"Am J Surg."},{"issue":"1","key":"7043_CR29","first-page":"101","volume":"180","author":"SM Strasberg","year":"1995","unstructured":"Strasberg SM, Hertl M, Soper NJ. An analysis of the problem of biliary injury during laparoscopic cholecystectomy. J Am Coll Surg. 1995;180(1):101\u201325.","journal-title":"J Am Coll Surg"},{"issue":"5","key":"7043_CR30","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1097\/SLA.0000000000004351","volume":"275","author":"P Mascagni","year":"2022","unstructured":"Mascagni P, Vardazaryan A, Alapatt D, et al. Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning. Ann Surg. 2022;275(5):955\u201361. https:\/\/doi.org\/10.1097\/SLA.0000000000004351.","journal-title":"Ann Surg"},{"issue":"4","key":"7043_CR31","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1016\/j.soard.2015.05.001","volume":"11","author":"J Kim","year":"2015","unstructured":"Kim J, Azagury D, Eisenberg D, et al. American Society for Metabolic and Bariatric Surgery Clinical Issues Committee. ASMBS position statement on prevention, detection, and treatment of gastrointestinal leak after gastric bypass and sleeve gastrectomy, including the roles of imaging, surgical exploration, and nonoperative management. Surg Obes Relat Dis. 2015;11(4):739\u201348. https:\/\/doi.org\/10.1016\/j.soard.2015.05.001.","journal-title":"Surg Obes Relat Dis"},{"issue":"3","key":"7043_CR32","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1007\/s00268-019-05233-2","volume":"44","author":"N Sakran","year":"2020","unstructured":"Sakran N, Raziel A, Gralnek IM, et al. Low incidence of postoperative leaks when using small-diameter calibrated bougies during laparoscopic sleeve gastrectomy: a retrospective cohort study. World J Surg. 2020;44(3):849\u201354. https:\/\/doi.org\/10.1007\/s00268-019-05233-2.","journal-title":"World J Surg"},{"issue":"1","key":"7043_CR33","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4103\/jmas.JMAS_271_17","volume":"15","author":"A Iannelli","year":"2019","unstructured":"Iannelli A, Treacy P, Sebastianelli L, et al. Perioperative complications of sleeve gastrectomy: review of the literature. J Minim Access Surg. 2019;15(1):1\u20137. https:\/\/doi.org\/10.4103\/jmas.JMAS_271_17.","journal-title":"J Minim Access Surg"},{"issue":"11","key":"7043_CR34","doi-asserted-by":"publisher","first-page":"1176","DOI":"10.1089\/lap.2022.0122","volume":"32","author":"F Di Capua","year":"2022","unstructured":"Di Capua F, Cesana GC, Uccelli M, et al. Comparison of laparoscopic sleeve gastrectomy bleeding and leakage rates in four staple-line reinforcement methods: a prospective observational study. J Laparoendosc Adv Surg Tech A. 2022;32(11):1176\u201380. https:\/\/doi.org\/10.1089\/lap.2022.0122.","journal-title":"J Laparoendosc Adv Surg Tech A"},{"issue":"1","key":"7043_CR35","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/s11695-017-2835-y","volume":"28","author":"O Taha","year":"2018","unstructured":"Taha O, Abdelaal M, Talaat M, et al. A randomized comparison between staple-line oversewing versus no reinforcement during laparoscopic vertical sleeve gastrectomy. Obes Surg. 2018;28(1):218\u201325. https:\/\/doi.org\/10.1007\/s11695-017-2835-y.","journal-title":"Obes Surg"}],"container-title":["Obesity Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11695-023-07043-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11695-023-07043-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11695-023-07043-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T09:41:22Z","timestamp":1706175682000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11695-023-07043-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,5]]},"references-count":35,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["7043"],"URL":"https:\/\/doi.org\/10.1007\/s11695-023-07043-x","relation":{},"ISSN":["0960-8923","1708-0428"],"issn-type":[{"value":"0960-8923","type":"print"},{"value":"1708-0428","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,5]]},"assertion":[{"value":"15 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 December 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the Institutional Review Board and was performed in accordance with the ethical standards of the institutional and\/ or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"The author declares no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}