{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T19:26:12Z","timestamp":1778181972261,"version":"3.51.4"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,17]]},"DOI":"10.7759\/cureus.82461","type":"journal-article","created":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T18:21:16Z","timestamp":1744914076000},"source":"Crossref","is-referenced-by-count":5,"title":["The Role of Artificial Intelligence in the Prediction of Bariatric Surgery Complications: A Systematic Review"],"prefix":"10.7759","author":[{"given":"Mohamed Ahmed","family":"Hassan Mukhtar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed Umballi","family":"Babiker Ahmed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed Awad","family":"Siddig Mohammed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nasereldeen Omer","family":"Ibrahim Omer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dalia Saad","family":"Altom","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohey Aldien  A","family":"Elnour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.disamonth.2023.101592","article-title":"Obesity, obesities and gastrointestinal cancers","volume":"69","author":"Zou Y","year":"2023","unstructured":"Zou Y, Pitchumoni CS. Obesity, obesities and gastrointestinal cancers. Dis Mon. 2023, 69:101592. 10.1016\/j.disamonth.2023.101592","journal-title":"Dis Mon"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.6820","article-title":"Association between bariatric surgery and major adverse diabetes outcomes in patients with diabetes and obesity","volume":"4","author":"Doumouras AG","year":"2021","unstructured":"Doumouras AG, Lee Y, Paterson JM, et al.. Association between bariatric surgery and major adverse diabetes outcomes in patients with diabetes and obesity. JAMA Netw Open. 2021, 4:e216820. 10.1001\/jamanetworkopen.2021.6820","journal-title":"JAMA Netw Open"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2337\/dc21-1335","article-title":"Association of bariatric surgery with cancer incidence in patients with obesity and diabetes: long-term results from the Swedish obese subjects study","volume":"45","author":"Sj\u00f6holm K","year":"2022","unstructured":"Sj\u00f6holm K, Carlsson LM, Svensson PA, et al.. Association of bariatric surgery with cancer incidence in patients with obesity and diabetes: long-term results from the Swedish obese subjects study. Diabetes Care. 2022, 45:444-50. 10.2337\/dc21-1335","journal-title":"Diabetes Care"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.obpill.2022.100015","article-title":"Bariatric surgery, gastrointestinal hormones, and the microbiome: an Obesity Medicine Association (OMA) clinical practice Statement (CPS) 2022","volume":"2","author":"Shetye B","year":"2022","unstructured":"Shetye B, Hamilton FR, Bays HE. Bariatric surgery, gastrointestinal hormones, and the microbiome: an Obesity Medicine Association (OMA) clinical practice Statement (CPS) 2022. Obes Pillars. 2022, 2:100015. 10.1016\/j.obpill.2022.100015","journal-title":"Obes Pillars"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/imj.16625","article-title":"Treatment of obesity: will incretin agonists make bariatric surgery a thing of the past?","volume":"55","author":"Lah S","year":"2025","unstructured":"Lah S, Hocking SL. Treatment of obesity: will incretin agonists make bariatric surgery a thing of the past?. Intern Med J. 2025, 55:369-75. 10.1111\/imj.16625","journal-title":"Intern Med J"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/jcm14020424","article-title":"Perioperative outcomes in patients with and without chronic preoperative therapeutic anticoagulation undergoing metabolic surgery at an academic medical center","volume":"14","author":"Fares S","year":"2025","unstructured":"Fares S, Barajas-Gamboa JS, Zhan K, et al.. Perioperative outcomes in patients with and without chronic preoperative therapeutic anticoagulation undergoing metabolic surgery at an academic medical center. J Clin Med. 2025, 14:10.3390\/jcm14020424","journal-title":"J Clin Med"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.21037\/jmai-24-294","article-title":"Role of artificial intelligence in healthcare settings: a systematic review","volume":"8","author":"Ullah W","year":"2025","unstructured":"Ullah W, Ali Q. Role of artificial intelligence in healthcare settings: a systematic review. J Med Artif Intell. 2025, 8:24. 10.21037\/jmai-24-294","journal-title":"J Med Artif Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12909-023-04698-z","article-title":"Revolutionizing healthcare: the role of artificial intelligence in clinical practice","volume":"23","author":"Alowais SA","year":"2023","unstructured":"Alowais SA, Alghamdi SS, Alsuhebany N, et al.. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med Educ. 2023, 23:689. 10.1186\/s12909-023-04698-z","journal-title":"BMC Med Educ"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11695-022-06146-1","article-title":"Artificial intelligence in bariatric surgery: current status and future perspectives","volume":"32","author":"Bekta\u015f M","year":"2022","unstructured":"Bekta\u015f M, Reiber BM, Pereira JC, Burchell GL, van der Peet DL. Artificial intelligence in bariatric surgery: current status and future perspectives. Obes Surg. 2022, 32:2772-83. 10.1007\/s11695-022-06146-1","journal-title":"Obes Surg"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11695-022-06100-1","article-title":"Current applications of artificial intelligence in bariatric surgery","volume":"32","author":"Bellini V","year":"2022","unstructured":"Bellini V, Valente M, Turetti M, Del Rio P, Saturno F, Maffezzoni M, Bignami E. Current applications of artificial intelligence in bariatric surgery. Obes Surg. 2022, 32:2717-33. 10.1007\/s11695-022-06100-1","journal-title":"Obes Surg"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.70594\/brain\/16.1\/9","article-title":"The role of artificial intelligence in bariatric surgery: perspectives and modern applications","volume":"16","author":"Miler A","year":"2025","unstructured":"Miler A, Visternicu M, Rarinca V, et al.. The role of artificial intelligence in bariatric surgery: perspectives and modern applications. BRAIN. 2025, 16:125-41. 10.70594\/brain\/16.1\/9","journal-title":"BRAIN"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 statement: an updated guideline for reporting systematic reviews","volume":"372","author":"Page MJ","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, et al.. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021, 372:n71. 10.1136\/bmj.n71","journal-title":"BMJ"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/jcm8050668","article-title":"A comparative study of machine learning algorithms in predicting severe complications after bariatric surgery","volume":"8","author":"Cao Y","year":"2019","unstructured":"Cao Y, Fang X, Ottosson J, N\u00e4slund E, Stenberg E. A comparative study of machine learning algorithms in predicting severe complications after bariatric surgery. J Clin Med. 2019, 8:10.3390\/jcm8050668","journal-title":"J Clin Med"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9061895","article-title":"Using Bayesian networks to predict long-term health-related quality of life and comorbidity after bariatric surgery: a study based on the scandinavian obesity surgery registry","volume":"9","author":"Cao Y","year":"2020","unstructured":"Cao Y, Raoof M, Szabo E, Ottosson J, N\u00e4slund I. Using Bayesian networks to predict long-term health-related quality of life and comorbidity after bariatric surgery: a study based on the scandinavian obesity surgery registry. J Clin Med. 2020, 9:10.3390\/jcm9061895","journal-title":"J Clin Med"},{"key":"ref15","article-title":"Neural networks to predict long-term bariatric surgery outcomes","volume":"14","author":"Thomas DM","year":"2017","unstructured":"Thomas DM, Kuiper P, Zaveri H, et al.. Neural networks to predict long-term bariatric surgery outcomes. Bariatric Times. 2017, 14:14-7.","journal-title":"Bariatric Times"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2196\/15992","article-title":"Deep learning neural networks to predict serious complications after bariatric surgery: analysis of scandinavian obesity surgery registry data","volume":"8","author":"Cao Y","year":"2020","unstructured":"Cao Y, Montgomery S, Ottosson J, N\u00e4slund E, Stenberg E. Deep learning neural networks to predict serious complications after bariatric surgery: analysis of scandinavian obesity surgery registry data. JMIR Med Inform. 2020, 8:e15992. 10.2196\/15992","journal-title":"JMIR Med Inform"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-020-07378-x","article-title":"Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database","volume":"35","author":"Nudel J","year":"2021","unstructured":"Nudel J, Bishara AM, de Geus SW, Patil P, Srinivasan J, Hess DT, Woodson J. Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database. Surg Endosc. 2021, 35:182-91. 10.1007\/s00464-020-07378-x","journal-title":"Surg Endosc"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-019-03156-8","article-title":"Predictive models for bariatric surgery risks with imbalanced medical datasets","volume":"280","author":"Razzaghi T","year":"2019","unstructured":"Razzaghi T, Safro I, Ewing J, et al.. Predictive models for bariatric surgery risks with imbalanced medical datasets. Ann Oper Res. 2019, 280:1-18. 10.1007\/s10479-019-03156-8","journal-title":"Ann Oper Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11695-017-3099-2","article-title":"Risk prediction model for severe postoperative complication in bariatric surgery","volume":"28","author":"Stenberg E","year":"2018","unstructured":"Stenberg E, Cao Y, Szabo E, N\u00e4slund E, N\u00e4slund I, Ottosson J. Risk prediction model for severe postoperative complication in bariatric surgery. Obes Surg. 2018, 28:1869-75. 10.1007\/s11695-017-3099-2","journal-title":"Obes Surg"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00464-023-10156-0","article-title":"Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery","volume":"37","author":"Hsu JL","year":"2023","unstructured":"Hsu JL, Chen KA, Butler LR, Bahraini A, Kapadia MR, Gomez SM, Farrell TM. Application of machine learning to predict postoperative gastrointestinal bleed in bariatric surgery. Surg Endosc. 2023, 37:7121-7. 10.1007\/s00464-023-10156-0","journal-title":"Surg Endosc"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.soard.2023.05.025","article-title":"Predicting readmission after bariatric surgery using machine learning","volume":"19","author":"Butler LR","year":"2023","unstructured":"Butler LR, Chen KA, Hsu J, Kapadia MR, Gomez SM, Farrell TM. Predicting readmission after bariatric surgery using machine learning. Surg Obes Relat Dis. 2023, 19:1236-44. 10.1016\/j.soard.2023.05.025","journal-title":"Surg Obes Relat Dis"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIIS53135.2021.9660730","article-title":"Machine learning based weight prediction system for bariatric patients","author":"Weerakoon W","unstructured":"Weerakoon W, Pemarathne W. Machine learning based weight prediction system for bariatric patients. IEEE 16th International Conference on Industrial and Information Systems (ICIIS). 2021 (ed): IEEE, Kandy, Sri Lanka; 10.1109\/ICIIS53135.2021.9660730. 10.1109\/ICIIS53135.2021.9660730"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.surg.2021.10.002","article-title":"The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: a systematic review","volume":"171","author":"Stam WT","year":"2022","unstructured":"Stam WT, Goedknegt LK, Ingwersen EW, Schoonmade LJ, Bruns ER, Daams F. The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: a systematic review. Surgery. 2022, 171:1014-21. 10.1016\/j.surg.2021.10.002","journal-title":"Surgery"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s00423-021-02348-w","article-title":"Machine learning to guide clinical decision-making in abdominal surgery - a systematic literature review","volume":"407","author":"Henn J","year":"2022","unstructured":"Henn J, Buness A, Schmid M, Kalff JC, Matthaei H. Machine learning to guide clinical decision-making in abdominal surgery - a systematic literature review. Langenbecks Arch Surg. 2022, 407:51-61. 10.1007\/s00423-021-02348-w","journal-title":"Langenbecks Arch Surg"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.gassur.2024.03.006","article-title":"Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis","volume":"28","author":"Wang J","year":"2024","unstructured":"Wang J, Tozzi F, Ashraf Ganjouei A, et al.. Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis. J Gastrointest Surg. 2024, 28:956-65. 10.1016\/j.gassur.2024.03.006","journal-title":"J Gastrointest Surg"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/360908-the-role-of-artificial-intelligence-in-the-prediction-of-bariatric-surgery-complications-a-systematic-review","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T18:21:16Z","timestamp":1744914076000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/360908-the-role-of-artificial-intelligence-in-the-prediction-of-bariatric-surgery-complications-a-systematic-review"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,17]]},"references-count":25,"URL":"https:\/\/doi.org\/10.7759\/cureus.82461","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,4,17]]}}}