{"id":156456,"date":"2025-11-24T04:27:07","date_gmt":"2025-11-24T04:27:07","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/156456\/"},"modified":"2025-11-24T04:27:07","modified_gmt":"2025-11-24T04:27:07","slug":"predictions-of-postoperative-and-perioperative-complications-of-laparoscopic-cholecystectomy-using-machine-learning-algorithms-systematic-review-bmc-surgery","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/156456\/","title":{"rendered":"Predictions of postoperative and perioperative complications of laparoscopic cholecystectomy using machine learning algorithms: systematic review | BMC Surgery"},"content":{"rendered":"<p class=\"c-article-references__text\" id=\"ref-CR1\">Fan LL, Chen BH, Dai ZJ. The relation between gallstone disease and cardiovascular disease. Scientific Rep. 2017;7(1):5104.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 1\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=The%20relation%20between%20gallstone%20disease%20and%20cardiovascular%20disease&amp;journal=Scientific%20Rep&amp;volume=7&amp;issue=1&amp;publication_year=2017&amp;author=Fan%2CLL&amp;author=Chen%2CBH&amp;author=Dai%2CZJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR2\">Zheng Y, Xu M, Li Y, Hruby A, Rimm EB, Hu FB, Wirth J, Albert CM, Rexrode KM, Manson JE, Qi L. Gallstones and Risk of Coronary Heart Disease: Prospective Analysis of 270 000 Men and Women From 3 US Cohorts and Meta-Analysis. Arterioscler Thromb Vasc Biol. 2016;36(9):1997\u20132003.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 2\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Gallstones%20and%20Risk%20of%20Coronary%20Heart%20Disease%3A%20Prospective%20Analysis%20of%20270%20000%20Men%20and%20Women%20From%203%20US%20Cohorts%20and%20Meta-Analysis&amp;journal=Arterioscler%20Thromb%20Vasc%20Biol&amp;volume=36&amp;issue=9&amp;pages=1997-2003&amp;publication_year=2016&amp;author=Zheng%2CY&amp;author=Xu%2CM&amp;author=Li%2CY&amp;author=Hruby%2CA&amp;author=Rimm%2CEB&amp;author=Hu%2CFB&amp;author=Wirth%2CJ&amp;author=Albert%2CCM&amp;author=Rexrode%2CKM&amp;author=Manson%2CJE&amp;author=Qi%2CL\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR3\">Jenks M, Taylor M, Shore J. Cost-utility analysis of the insufflation of warmed humidified carbon dioxide during open and laparoscopic colorectal surgery. Expert Rev Pharmacoecon Outcomes Res. 2017;17(1):99\u2013107.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 3\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Cost-utility%20analysis%20of%20the%20insufflation%20of%20warmed%20humidified%20carbon%20dioxide%20during%20open%20and%20laparoscopic%20colorectal%20surgery&amp;journal=Expert%20Rev%20Pharmacoecon%20Outcomes%20Res&amp;volume=17&amp;issue=1&amp;pages=99-107&amp;publication_year=2017&amp;author=Jenks%2CM&amp;author=Taylor%2CM&amp;author=Shore%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR4\">Balayssac D, Pereira B, Bazin JE, Le Roy B, Pezet D, Gagniere J. Warmed and humidified carbon dioxide for abdominal laparoscopic surgery: meta-analysis of the current literature. Surg Endosc. 2017;31:1\u201312.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 4\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Warmed%20and%20humidified%20carbon%20dioxide%20for%20abdominal%20laparoscopic%20surgery%3A%20meta-analysis%20of%20the%20current%20literature&amp;journal=Surg%20Endosc&amp;volume=31&amp;pages=1-12&amp;publication_year=2017&amp;author=Balayssac%2CD&amp;author=Pereira%2CB&amp;author=Bazin%2CJE&amp;author=Roy%2CB&amp;author=Pezet%2CD&amp;author=Gagniere%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR5\">Travagli RA, Anselmi L. Vagal neurocircuitry and its influence on gastric motility. Nat Rev Gastroenterol Hepatol. 2016;13(7):389\u2013401.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 5\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Vagal%20neurocircuitry%20and%20its%20influence%20on%20gastric%20motility&amp;journal=Nat%20Rev%20Gastroenterol%20Hepatol&amp;volume=13&amp;issue=7&amp;pages=389-401&amp;publication_year=2016&amp;author=Travagli%2CRA&amp;author=Anselmi%2CL\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR6\">Murry CE, Jennings RB, Reimer KA. Preconditioning with ischemia: a delay of lethal cell injury in ischemic myocardium. Circulation. 1986;74(5):1124\u201336.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 6\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Preconditioning%20with%20ischemia%3A%20a%20delay%20of%20lethal%20cell%20injury%20in%20ischemic%20myocardium&amp;journal=Circulation&amp;volume=74&amp;issue=5&amp;pages=1124-1136&amp;publication_year=1986&amp;author=Murry%2CCE&amp;author=Jennings%2CRB&amp;author=Reimer%2CKA\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR7\">Kotani N, Hashimoto H, Sato Y, Sessler DI, Yoshioka H, Kitayama M, Matsuki A. Preoperative intradermal acupuncture reduces postoperative pain, nausea and vomiting, analgesic requirement, and sympathoadrenal responses. Anesthesiology. 2001;95(2):349\u201356.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 7\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Preoperative%20intradermal%20acupuncture%20reduces%20postoperative%20pain%2C%20nausea%20and%20vomiting%2C%20analgesic%20requirement%2C%20and%20sympathoadrenal%20responses&amp;journal=Anesthesiology&amp;volume=95&amp;issue=2&amp;pages=349-356&amp;publication_year=2001&amp;author=Kotani%2CN&amp;author=Hashimoto%2CH&amp;author=Sato%2CY&amp;author=Sessler%2CDI&amp;author=Yoshioka%2CH&amp;author=Kitayama%2CM&amp;author=Matsuki%2CA\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR8\">Berlet M, Fuchtmann J, Bernhard L, Jell A, Weber MC, Neumann PA, Wilhelm D. Laparoscopic Cholecystectomy\u2013A Proper Model Surgery for AI based Prediction of Adverse Events? Analysis of possible predictive values on the basis of the German reimbursement statistics. Curr Dir Biomed\u00a0Eng. 2022;8(1):5\u20138.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 8\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Laparoscopic%20Cholecystectomy%E2%80%93A%20Proper%20Model%20Surgery%20for%20AI%20based%20Prediction%20of%20Adverse%20Events%3F%20Analysis%20of%20possible%20predictive%20values%20on%20the%20basis%20of%20the%20German%20reimbursement%20statistics&amp;journal=Curr%20Dir%20Biomed%C2%A0Eng&amp;volume=8&amp;issue=1&amp;pages=5-8&amp;publication_year=2022&amp;author=Berlet%2CM&amp;author=Fuchtmann%2CJ&amp;author=Bernhard%2CL&amp;author=Jell%2CA&amp;author=Weber%2CMC&amp;author=Neumann%2CPA&amp;author=Wilhelm%2CD\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR9\">Ranev D, Teixeira J. History of Computer-Assisted Surgery. Surg Clin North Am. 2020;100(2):209\u201318.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 9\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=History%20of%20Computer-Assisted%20Surgery&amp;journal=Surg%20Clin%20North%20Am&amp;volume=100&amp;issue=2&amp;pages=209-218&amp;publication_year=2020&amp;author=Ranev%2CD&amp;author=Teixeira%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR10\">Lopez-Lopez V, Maupoey J, L\u00f3pez-Andujar R, Ramos E, Mils K, Martinez PA, Robles-Campos R. Machine learning-based analysis in the management of iatrogenic bile duct injury during cholecystectomy: a nationwide multicenter study. J Gastrointest Surg. 2022;26(8):1713\u201323.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 10\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Machine%20learning-based%20analysis%20in%20the%20management%20of%20iatrogenic%20bile%20duct%20injury%20during%20cholecystectomy%3A%20a%20nationwide%20multicenter%20study&amp;journal=J%20Gastrointest%20Surg&amp;volume=26&amp;issue=8&amp;pages=1713-1723&amp;publication_year=2022&amp;author=Lopez-Lopez%2CV&amp;author=Maupoey%2CJ&amp;author=L%C3%B3pez-Andujar%2CR&amp;author=Ramos%2CE&amp;author=Mils%2CK&amp;author=Martinez%2CPA&amp;author=Robles-Campos%2CR\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR11\">Mascagni P, Vardazaryan A, Alapatt D, Urade T, Emre T, Fiorillo C, Padoy N. 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.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 11\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Artificial%20intelligence%20for%20surgical%20safety%3A%20automatic%20assessment%20of%20the%20critical%20view%20of%20safety%20in%20laparoscopic%20cholecystectomy%20using%20deep%20learning&amp;journal=Ann%20Surg&amp;volume=275&amp;issue=5&amp;pages=955-961&amp;publication_year=2022&amp;author=Mascagni%2CP&amp;author=Vardazaryan%2CA&amp;author=Alapatt%2CD&amp;author=Urade%2CT&amp;author=Emre%2CT&amp;author=Fiorillo%2CC&amp;author=Padoy%2CN\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR12\">Shi HY, Lee HH, Tsai JT, Ho WH, Chen CF, Lee KT, Chiu CC. Comparisons of prediction models of quality of life after laparoscopic cholecystectomy: a longitudinal prospective study. PLoS One. 2012;7(12):e51285.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 12\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Comparisons%20of%20prediction%20models%20of%20quality%20of%20life%20after%20laparoscopic%20cholecystectomy%3A%20a%20longitudinal%20prospective%20study&amp;journal=PLoS%20One&amp;volume=7&amp;issue=12&amp;publication_year=2012&amp;author=Shi%2CHY&amp;author=Lee%2CHH&amp;author=Tsai%2CJT&amp;author=Ho%2CWH&amp;author=Chen%2CCF&amp;author=Lee%2CKT&amp;author=Chiu%2CCC\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR13\">Su\u00e1rez M, Mart\u00ednez R, Torres AM, Ram\u00f3n A, Blasco P, Mateo J. Personalized risk assessment of hepatic fibrosis after cholecystectomy in metabolic-associated steatotic liver disease: a machine learning approach. J Clin Med. 2023;12(20):6489.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 13\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Personalized%20risk%20assessment%20of%20hepatic%20fibrosis%20after%20cholecystectomy%20in%20metabolic-associated%20steatotic%20liver%20disease%3A%20a%20machine%20learning%20approach&amp;journal=J%20Clin%20Med&amp;volume=12&amp;issue=20&amp;publication_year=2023&amp;author=Su%C3%A1rez%2CM&amp;author=Mart%C3%ADnez%2CR&amp;author=Torres%2CAM&amp;author=Ram%C3%B3n%2CA&amp;author=Blasco%2CP&amp;author=Mateo%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR14\">Bai M, Guo R, Zhao Q, Li Y. Artificial Intelligence-Based CT Images in Analysis of Postoperative Recovery of Patients Undergoing Laparoscopic Cholecystectomy under Balanced Anesthesia. Scientific Programming. 2021;2021(1):1125573.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 14\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Artificial%20Intelligence-Based%20CT%20Images%20in%20Analysis%20of%20Postoperative%20Recovery%20of%20Patients%20Undergoing%20Laparoscopic%20Cholecystectomy%20under%20Balanced%20Anesthesia&amp;journal=Scientific%20Programming&amp;volume=2021&amp;issue=1&amp;publication_year=2021&amp;author=Bai%2CM&amp;author=Guo%2CR&amp;author=Zhao%2CQ&amp;author=Li%2CY\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR15\">15. Wang R, Erus G, Chaudhari P, Davatzikos C. Adapting machine learning diagnostic models to new populations using a small amount of data: Results from clinical neuroscience. ArXiv. 2024;arXiv-2308.<\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR16\">Rosenbacke R, Melhus \u00c5, McKee M, Stuckler D. How Explainable Artificial Intelligence Can Increase or Decrease Clinicians\u2019 Trust in AI Applications in Health Care: Systematic Review. JMIR AI. 2024;3:e53207.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 16\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=How%20Explainable%20Artificial%20Intelligence%20Can%20Increase%20or%20Decrease%20Clinicians%E2%80%99%20Trust%20in%20AI%20Applications%20in%20Health%20Care%3A%20Systematic%20Review&amp;journal=JMIR%20AI&amp;volume=3&amp;publication_year=2024&amp;author=Rosenbacke%2CR&amp;author=Melhus%2C%C3%85&amp;author=McKee%2CM&amp;author=Stuckler%2CD\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR17\">Elfanagely O, Toyoda Y, Othman S, Mellia JA, Basta M, Liu T, Fischer JP. Machine learning and surgical outcomes prediction: a systematic review. J Surg Res. 2021;264:346\u201361.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 17\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Machine%20learning%20and%20surgical%20outcomes%20prediction%3A%20a%20systematic%20review&amp;journal=J%20Surg%20Res&amp;volume=264&amp;pages=346-361&amp;publication_year=2021&amp;author=Elfanagely%2CO&amp;author=Toyoda%2CY&amp;author=Othman%2CS&amp;author=Mellia%2CJA&amp;author=Basta%2CM&amp;author=Liu%2CT&amp;author=Fischer%2CJP\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR18\">Smith LA, Oakden-Rayner L, Bird A, Zeng M, To MS, Mukherjee S, Palmer LJ. Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis. The Lancet Digital Health. 2023;5(12):e872\u201381.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 18\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Machine%20learning%20and%20deep%20learning%20predictive%20models%20for%20long-term%20prognosis%20in%20patients%20with%20chronic%20obstructive%20pulmonary%20disease%3A%20a%20systematic%20review%20and%20meta-analysis&amp;journal=The%20Lancet%20Digital%20Health&amp;volume=5&amp;issue=12&amp;pages=e872-e881&amp;publication_year=2023&amp;author=Smith%2CLA&amp;author=Oakden-Rayner%2CL&amp;author=Bird%2CA&amp;author=Zeng%2CM&amp;author=To%2CMS&amp;author=Mukherjee%2CS&amp;author=Palmer%2CLJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR19\">Chen M, Tan X, Padman R. A machine learning approach to support urgent stroke triage using administrative data and social determinants of health at hospital presentation: retrospective study. J Med Internet Res. 2023;25:e36477.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 19\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=A%20machine%20learning%20approach%20to%20support%20urgent%20stroke%20triage%20using%20administrative%20data%20and%20social%20determinants%20of%20health%20at%20hospital%20presentation%3A%20retrospective%20study&amp;journal=J%20Med%20Internet%20Res&amp;volume=25&amp;publication_year=2023&amp;author=Chen%2CM&amp;author=Tan%2CX&amp;author=Padman%2CR\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR20\">Bouarfa L, Schneider A, Feussner H, Navab N, Lemke HU, Jonker PP, Dankelman J. Prediction of intraoperative complexity from preoperative patient data for laparoscopic cholecystectomy. Artif Intell Med. 2011;52(3):169\u201376.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 20\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Prediction%20of%20intraoperative%20complexity%20from%20preoperative%20patient%20data%20for%20laparoscopic%20cholecystectomy&amp;journal=Artif%20Intell%20Med&amp;volume=52&amp;issue=3&amp;pages=169-176&amp;publication_year=2011&amp;author=Bouarfa%2CL&amp;author=Schneider%2CA&amp;author=Feussner%2CH&amp;author=Navab%2CN&amp;author=Lemke%2CHU&amp;author=Jonker%2CPP&amp;author=Dankelman%2CJ\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR21\">Gupta P, Kingston KA, O\u2019Malley M, Williams RJ, Ramkumar PN. Advancements in artificial intelligence for foot and ankle surgery: a systematic review. Foot Ankle Orthop. 2023;8(1):24730114221151080.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 21\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Advancements%20in%20artificial%20intelligence%20for%20foot%20and%20ankle%20surgery%3A%20a%20systematic%20review&amp;journal=Foot%20Ankle%20Orthop&amp;volume=8&amp;issue=1&amp;publication_year=2023&amp;author=Gupta%2CP&amp;author=Kingston%2CKA&amp;author=O%E2%80%99Malley%2CM&amp;author=Williams%2CRJ&amp;author=Ramkumar%2CPN\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n<p class=\"c-article-references__text\" id=\"ref-CR22\">Ali H, Patel P, Malik TF, Pamarthy R, Mohan BP, Asokkumar R, Adler DG. Endoscopic sleeve gastroplasty reintervention score using supervised machine learning. Gastrointest Endosc. 2023;98(5):747\u201354.<\/p>\n<p class=\"c-article-references__links u-hide-print\"><a data-track=\"click_references\" data-track-action=\"google scholar reference\" data-track-value=\"google scholar reference\" data-track-label=\"link\" data-track-item_id=\"link\" rel=\"nofollow noopener\" aria-label=\"Google Scholar reference 22\" href=\"http:\/\/scholar.google.com\/scholar_lookup?&amp;title=Endoscopic%20sleeve%20gastroplasty%20reintervention%20score%20using%20supervised%20machine%20learning&amp;journal=Gastrointest%20Endosc&amp;volume=98&amp;issue=5&amp;pages=747-754&amp;publication_year=2023&amp;author=Ali%2CH&amp;author=Patel%2CP&amp;author=Malik%2CTF&amp;author=Pamarthy%2CR&amp;author=Mohan%2CBP&amp;author=Asokkumar%2CR&amp;author=Adler%2CDG\" target=\"_blank\"><br \/>\n                    Google Scholar<\/a>\u00a0\n                <\/p>\n","protected":false},"excerpt":{"rendered":"Fan LL, Chen BH, Dai ZJ. The relation between gallstone disease and cardiovascular disease. Scientific Rep. 2017;7(1):5104. Google&hellip;\n","protected":false},"author":2,"featured_media":156457,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[218,88212,103,61,1704,60,88209,3045,88210,36376,3066,88211],"class_list":["post-156456","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-artificial-intelligence","tag-cholecystectomy-outcomes","tag-health","tag-ie","tag-internal-medicine","tag-ireland","tag-laparoscopic-cholecystectomy","tag-machine-learning","tag-perioperative-complications","tag-postoperative-complications","tag-surgery","tag-surgical-complications"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/156456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=156456"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/156456\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/156457"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=156456"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=156456"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=156456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}