{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T21:39:37Z","timestamp":1790890777094,"version":"4.1.0"},"reference-count":54,"publisher":"American Medical Association (AMA)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Surg"],"published-print":{"date-parts":[[2021,10,1]]},"DOI":"10.1001\/jamasurg.2021.3012","type":"journal-article","created":{"date-parts":[[2021,7,7]],"date-time":"2021-07-07T15:49:31Z","timestamp":1625672971000},"page":"933","source":"Crossref","is-referenced-by-count":69,"title":["Development and Validation of Image-Based Deep Learning Models to Predict Surgical Complexity and Complications in Abdominal Wall Reconstruction"],"prefix":"10.1001","volume":"156","author":[{"given":"Sharbel Adib","family":"Elhage","sequence":"first","affiliation":[{"name":"Department of Surgery, Franciscus Gasthuis en Vlietland, Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva Barbara","family":"Deerenberg","sequence":"additional","affiliation":[{"name":"Department of Surgery, Franciscus Gasthuis en Vlietland, Rotterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sullivan Armando","family":"Ayuso","sequence":"additional","affiliation":[{"name":"Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keith Joseph","family":"Murphy","sequence":"additional","affiliation":[{"name":"Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jenny Meng","family":"Shao","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Pennsylvania, Philadelphia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kent Williams","family":"Kercher","sequence":"additional","affiliation":[{"name":"Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neil James","family":"Smart","sequence":"additional","affiliation":[{"name":"Department of Colorectal Surgery, Royal Devon and Exeter NHS Foundation Trust, Royal Devon and Exeter Hospital, Exeter, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John Patrick","family":"Fischer","sequence":"additional","affiliation":[{"name":"Division of Plastic Surgery, Department of Surgery, Perelman School of Medicine, Philadelphia, Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vedra Abdomerovic","family":"Augenstein","sequence":"additional","affiliation":[{"name":"Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paul Dominick","family":"Colavita","sequence":"additional","affiliation":[{"name":"Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B. Todd","family":"Heniford","sequence":"additional","affiliation":[{"name":"Division of Gastrointestinal and Minimally Invasive Surgery, Department of Surgery, Carolinas Medical Center, Charlotte, North Carolina"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","reference":[{"key":"soi210045r1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.cmpb.2016.10.007","article-title":"Classification of CT brain images based on deep learning networks.","volume":"138","author":"Gao","year":"2017","journal-title":"Comput Methods Programs Biomed"},{"key":"soi210045r2","doi-asserted-by":"publisher","first-page":"24454","DOI":"10.1038\/srep24454","article-title":"Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans.","volume":"6","author":"Cheng","year":"2016","journal-title":"Sci Rep"},{"issue":"10162","key":"soi210045r3","doi-asserted-by":"publisher","first-page":"2388","DOI":"10.1016\/S0140-6736(18)31645-3","article-title":"Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study.","volume":"392","author":"Chilamkurthy","year":"2018","journal-title":"Lancet"},{"issue":"5","key":"soi210045r4","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1109\/TMI.2016.2535865","article-title":"Lung pattern classification for interstitial lung diseases using a deep convolutional neural network.","volume":"35","author":"Anthimopoulos","year":"2016","journal-title":"IEEE Trans Med Imaging"},{"key":"soi210045r5","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.103629","article-title":"Deep learning-based segmentation of breast masses in dedicated breast CT imaging: radiomic feature stability between radiologists and artificial intelligence.","volume":"118","author":"Caballo","year":"2020","journal-title":"Comput Biol Med"},{"issue":"4","key":"soi210045r6","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/S2468-1253(19)30411-X","article-title":"Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study.","volume":"5","author":"Wang","year":"2020","journal-title":"Lancet Gastroenterol Hepatol"},{"issue":"4","key":"soi210045r7","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1016\/S2468-1253(19)30413-3","article-title":"Detection of colorectal adenomas with a real-time computer-aided system (ENDOANGEL): a randomised controlled study.","volume":"5","author":"Gong","year":"2020","journal-title":"Lancet Gastroenterol Hepatol"},{"issue":"22","key":"soi210045r8","doi-asserted-by":"publisher","first-page":"2402","DOI":"10.1001\/jama.2016.17216","article-title":"Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.","volume":"316","author":"Gulshan","year":"2016","journal-title":"JAMA"},{"issue":"7639","key":"soi210045r9","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks.","volume":"542","author":"Esteva","year":"2017","journal-title":"Nature"},{"issue":"2","key":"soi210045r10","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1001\/jamasurg.2019.4917","article-title":"Artificial intelligence and surgical decision-making.","volume":"155","author":"Loftus","year":"2020","journal-title":"JAMA Surg"},{"issue":"9395","key":"soi210045r11","doi-asserted-by":"publisher","first-page":"1561","DOI":"10.1016\/S0140-6736(03)14746-0","article-title":"Hernias: inguinal and incisional.","volume":"362","author":"Kingsnorth","year":"2003","journal-title":"Lancet"},{"issue":"10000","key":"soi210045r12","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1016\/S0140-6736(15)60459-7","article-title":"Small bites versus large bites for closure of abdominal midline incisions (STITCH): a double-blind, multicentre, randomised controlled trial.","volume":"386","author":"Deerenberg","year":"2015","journal-title":"Lancet"},{"issue":"10094","key":"soi210045r13","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1016\/S0140-6736(17)31332-6","article-title":"Prevention of incisional hernia with prophylactic onlay and sublay mesh reinforcement versus primary suture only in midline laparotomies (PRIMA): 2-year follow-up of a multicentre, double-blind, randomised controlled trial.","volume":"390","author":"Jairam","year":"2017","journal-title":"Lancet"},{"issue":"9","key":"soi210045r14","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0138745","article-title":"Systematic review and meta-regression of factors affecting midline incisional hernia rates: analysis of 14,618 patients.","volume":"10","author":"Bosanquet","year":"2015","journal-title":"PLoS One"},{"issue":"2","key":"soi210045r15","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s10029-011-0879-9","article-title":"Epidemiology and cost of ventral hernia repair: making the case for hernia research.","volume":"16","author":"Poulose","year":"2012","journal-title":"Hernia"},{"issue":"2","key":"soi210045r16","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.amjsurg.2012.01.012","article-title":"Impact of incisional hernia on health-related quality of life and body image: a prospective cohort study.","volume":"204","author":"van Ramshorst","year":"2012","journal-title":"Am J Surg"},{"issue":"2","key":"soi210045r17","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.jamcollsurg.2015.04.026","article-title":"Adverse events after ventral hernia repair: the vicious cycle of complications.","volume":"221","author":"Holihan","year":"2015","journal-title":"J Am Coll Surg"},{"issue":"1","key":"soi210045r18","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1089\/sur.2015.124","article-title":"Component separation vs. bridged repair for large ventral hernias: a multi-institutional risk-adjusted comparison, systematic review, and meta-analysis.","volume":"17","author":"Holihan","year":"2016","journal-title":"Surg Infect (Larchmt)"},{"issue":"4","key":"soi210045r19","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1016\/j.surg.2019.05.043","article-title":"Twelve years of component separation technique in abdominal wall reconstruction.","volume":"166","author":"Maloney","year":"2019","journal-title":"Surgery"},{"issue":"6","key":"soi210045r20","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1016\/j.jamcollsurg.2013.08.015","article-title":"Primary fascial closure with mesh reinforcement is superior to bridged mesh repair for abdominal wall reconstruction.","volume":"217","author":"Booth","year":"2013","journal-title":"J Am Coll Surg"},{"issue":"2","key":"soi210045r21","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1097\/SLA.0000000000002966","article-title":"Preperitoneal ventral hernia repair: a decade long prospective observational study with analysis of 1023 patient outcomes.","volume":"271","author":"Heniford","year":"2020","journal-title":"Ann Surg"},{"issue":"3","key":"soi210045r22","doi-asserted-by":"crossref","first-page":"9S","DOI":"10.1097\/PRS.0000000000004833","article-title":"Abdominal wall reconstruction risk stratification tools: a systematic review of the literature.","volume":"142","author":"Bernardi","year":"2018","journal-title":"Plast Reconstr Surg"},{"issue":"6","key":"soi210045r23","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1016\/j.jamcollsurg.2012.08.012","article-title":"Modified hernia grading scale to stratify surgical site occurrence after open ventral hernia repairs.","volume":"215","author":"Kanters","year":"2012","journal-title":"J Am Coll Surg"},{"issue":"3","key":"soi210045r24","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1002\/bjs.9736","article-title":"Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement.","volume":"102","author":"Collins","year":"2015","journal-title":"Br J Surg"},{"issue":"1","key":"soi210045r25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00256-020-03533-6","article-title":"Image-guided botulinum toxin injection in the lateral abdominal wall prior to abdominal wall reconstruction surgery: review of techniques and results.","volume":"50","author":"Deerenberg","year":"2021","journal-title":"Skeletal Radiol"},{"issue":"1","key":"soi210045r26","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.jamcollsurg.2016.10.029","article-title":"American College of Surgeons and Surgical Infection Society: surgical site infection guidelines, 2016 update.","volume":"224","author":"Ban","year":"2017","journal-title":"J Am Coll Surg"},{"issue":"1","key":"soi210045r30","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/j.jamcollsurg.2013.08.016","article-title":"Specialization and the current practices of general surgeons.","volume":"218","author":"Decker","year":"2014","journal-title":"J Am Coll Surg"},{"issue":"6","key":"soi210045r31","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1016\/j.jamcollsurg.2013.07.382","article-title":"Outcomes of synthetic mesh in contaminated ventral hernia repairs.","volume":"217","author":"Carbonell","year":"2013","journal-title":"J Am Coll Surg"},{"issue":"5","key":"soi210045r32","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1007\/s10029-014-1279-8","article-title":"The impact of developing a comprehensive hernia center on the referral patterns and complexity of hernia care.","volume":"18","author":"Raigani","year":"2014","journal-title":"Hernia"},{"issue":"3","key":"soi210045r33","doi-asserted-by":"crossref","first-page":"201S","DOI":"10.1097\/PRS.0000000000004879","article-title":"Building a multidisciplinary hospital-based abdominal wall reconstruction program: nuts and bolts.","volume":"142","author":"Schlosser","year":"2018","journal-title":"Plast Reconstr Surg"},{"issue":"6","key":"soi210045r34","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1177\/1553350614528579","article-title":"Impact of the establishment of a specialty hernia referral center.","volume":"21","author":"Williams","year":"2014","journal-title":"Surg Innov"},{"issue":"3","key":"soi210045r35","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1016\/j.surg.2020.10.009","article-title":"Recurrent incisional hernia repairs at a tertiary hernia center: are outcomes really inferior to initial repairs?","volume":"169","author":"Shao","year":"2021","journal-title":"Surgery"},{"issue":"6","key":"soi210045r36","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1007\/s10029-019-02062-z","article-title":"The reality of general surgery training and increased complexity of abdominal wall hernia surgery.","volume":"23","author":"K\u00f6ckerling","year":"2019","journal-title":"Hernia"},{"issue":"2","key":"soi210045r37","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1097\/SLA.0000000000002244","article-title":"Reducing length of stay using a robotic-assisted approach for retromuscular ventral hernia repair: a comparative analysis from the Americas Hernia Society Quality Collaborative.","volume":"267","author":"Carbonell","year":"2018","journal-title":"Ann Surg"},{"issue":"4","key":"soi210045r38","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1097\/01.sla.0000184190.20289.4b","article-title":"Long-term survival is superior after resection for cancer in high-volume centers.","volume":"242","author":"Fong","year":"2005","journal-title":"Ann Surg"},{"issue":"15","key":"soi210045r39","doi-asserted-by":"publisher","first-page":"1128","DOI":"10.1056\/NEJMsa012337","article-title":"Hospital volume and surgical mortality in the United States.","volume":"346","author":"Birkmeyer","year":"2002","journal-title":"N Engl J Med"},{"issue":"3","key":"soi210045r41","doi-asserted-by":"crossref","first-page":"149S","DOI":"10.1097\/PRS.0000000000004871","article-title":"Prevention and treatment strategies for mesh infection in abdominal wall reconstruction.","volume":"142","author":"Kao","year":"2018","journal-title":"Plast Reconstr Surg"},{"issue":"6","key":"soi210045r42","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1097\/SLA.0000000000004310","article-title":"Prophylactic single-use negative pressure dressing in closed surgical wounds after incisional hernia repair: a randomized, controlled trial.","volume":"273","author":"Bueno-Lled\u00f3","year":"2021","journal-title":"Ann Surg"},{"issue":"4","key":"soi210045r43","doi-asserted-by":"publisher","first-page":"S65","DOI":"10.1016\/j.jamcollsurg.2015.07.145","article-title":"CeDAR: Carolinas equation for determining associated risks.","volume":"221","author":"Augenstein","year":"2015","journal-title":"J Am Coll Surg"},{"issue":"4","key":"soi210045r44","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1007\/s00464-019-06931-7","article-title":"Three-dimensional hernia analysis: the impact of size on surgical outcomes.","volume":"34","author":"Schlosser","year":"2020","journal-title":"Surg Endosc"},{"issue":"9","key":"soi210045r45","doi-asserted-by":"publisher","first-page":"4131","DOI":"10.1007\/s00464-019-07181-3","article-title":"Too big to breathe: predictors of respiratory failure and insufficiency after open ventral hernia repair.","volume":"34","author":"Schlosser","year":"2020","journal-title":"Surg Endosc"},{"issue":"21","key":"soi210045r46","doi-asserted-by":"publisher","first-page":"2199","DOI":"10.1001\/jama.2018.17163","article-title":"Clinical decision support in the era of artificial intelligence.","volume":"320","author":"Shortliffe","year":"2018","journal-title":"JAMA"},{"issue":"6","key":"soi210045r47","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1001\/jama.2018.20563","article-title":"Promoting trust between patients and physicians in the era of artificial intelligence.","volume":"322","author":"Nundy","year":"2019","journal-title":"JAMA"},{"issue":"4","key":"soi210045r48","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1097\/SLA.0000000000002706","article-title":"MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery.","volume":"269","author":"Bihorac","year":"2019","journal-title":"Ann Surg"},{"issue":"5","key":"soi210045r49","doi-asserted-by":"publisher","first-page":"1035","DOI":"10.1016\/j.surg.2019.01.002","article-title":"Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: a pilot usability study.","volume":"165","author":"Brennan","year":"2019","journal-title":"Surgery"},{"issue":"3","key":"soi210045r50","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1097\/TA.0000000000002566","article-title":"Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures: potential role in personalized forecasting and decision support.","volume":"88","author":"Dreizin","year":"2020","journal-title":"J Trauma Acute Care Surg"},{"issue":"5","key":"soi210045r51","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1016\/j.bja.2018.02.007","article-title":"A systematic review and consensus definitions for standardised end-points in perioperative medicine: pulmonary complications.","volume":"120","author":"Abbott","year":"2018","journal-title":"Br J Anaesth"},{"issue":"3","key":"soi210045r52","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1002\/bjs.11008","article-title":"Validation of the Bluebelle Wound Healing Questionnaire for assessment of surgical-site infection in closed primary wounds after hospital discharge.","volume":"106","author":"Macefield","year":"2019","journal-title":"Br J Surg"},{"issue":"6","key":"soi210045r53","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1097\/SLA.0000000000001573","article-title":"Underreporting of secondary endpoints in randomized trials: cross-sectional, observational study.","volume":"264","author":"Matthews","year":"2016","journal-title":"Ann Surg"},{"issue":"5","key":"soi210045r54","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1016\/j.jamcollsurg.2013.07.385","article-title":"Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.","volume":"217","author":"Bilimoria","year":"2013","journal-title":"J Am Coll Surg"},{"key":"soi210045r27","volume-title":"Computer Vision \u2013 ECCV 2016 Workshops","author":"Holder","year":"2016"},{"key":"soi210045r28","unstructured":"Zhang? C, Bengio? S, Hardt? M, Recht? B, Vinyals? O. Understanding deep learning requires rethinking generalization. arXiv. Preprint posted online November 10, 2016. https:\/\/arxiv.org\/abs\/1611.03530"},{"key":"soi210045r29","unstructured":"Gal? Y, Ghahramani? Z. A theoretically grounded application of dropout in recurrent neural networks. arXiv. Preprint posted online December 16, 2015. https:\/\/arxiv.org\/abs\/1512.05287"},{"key":"soi210045r40","unstructured":"Evans? M. A new factor when choosing a surgeon. The Wall Street Journal. Published September 19, 2016. Accessed November 29, 2020. https:\/\/www.wsj.com\/articles\/a-new-factor-when-choosing-a-surgeon-1474301023"}],"container-title":["JAMA Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamasurgery\/articlepdf\/2781744\/jamasurgery_elhage_2021_oi_210045_1633626645.77564.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T23:20:38Z","timestamp":1634512838000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamasurgery\/fullarticle\/2781744"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,1]]},"references-count":54,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2021,10,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamasurg.2021.3012","relation":{},"ISSN":["2168-6254"],"issn-type":[{"value":"2168-6254","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10,1]]}}}