{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T15:32:19Z","timestamp":1777908739630,"version":"3.51.4"},"reference-count":118,"publisher":"Georg Thieme Verlag KG","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Endoscopy"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the diagnosis and management of gastrointestinal neoplasia within the framework of the performance measures already defined by ESGE. This is based on the clinical relevance of the expected task and the preliminary evidence regarding artificial intelligence in artificial or clinical settings.<\/jats:p><jats:p>\n          Main recommendations: (1) For acceptance of AI in assessment of completeness of upper GI endoscopy, the adequate level of mucosal inspection with AI should be comparable to that assessed by experienced endoscopists. (2) For acceptance of AI in assessment of completeness of upper GI endoscopy, automated recognition and photodocumentation of relevant anatomical landmarks should be obtained in \u226590% of the procedures. (3) For acceptance of AI in the detection of Barrett\u2019s high grade intraepithelial neoplasia or cancer, the AI-assisted detection rate for suspicious lesions for targeted biopsies should be comparable to that of experienced endoscopists with or without advanced imaging techniques. (4) For acceptance of AI in the management of Barrett\u2019s neoplasia, AI-assisted selection of lesions amenable to endoscopic resection should be comparable to that of experienced endoscopists. (5) For acceptance of AI in the diagnosis of gastric precancerous conditions, AI-assisted diagnosis of atrophy and intestinal metaplasia should be comparable to that provided by the established biopsy protocol, including the estimation of extent, and consequent allocation to the correct endoscopic surveillance interval. (6) For acceptance of artificial intelligence for automated lesion detection in small-bowel capsule endoscopy (SBCE), the performance of AI-assisted reading should be comparable to that of experienced endoscopists for lesion detection, without increasing but possibly reducing the reading time of the operator. (7) For acceptance of AI in the detection of colorectal polyps, the AI-assisted adenoma detection rate should be comparable to that of experienced endoscopists. (8) For acceptance of AI optical diagnosis (computer-aided diagnosis [CADx]) of diminutive polyps (\u22645 mm), AI-assisted characterization should match performance standards for implementing resect-and-discard and diagnose-and-leave strategies. (9) For acceptance of AI in the management of polyps \u2265\u200a6\u200amm, AI-assisted characterization should be comparable to that of experienced endoscopists in selecting lesions amenable to endoscopic resection.<\/jats:p>","DOI":"10.1055\/a-1950-5694","type":"journal-article","created":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T22:59:47Z","timestamp":1666393187000},"page":"1211-1231","source":"Crossref","is-referenced-by-count":156,"title":["Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement"],"prefix":"10.1055","volume":"54","author":[{"given":"Helmut","family":"Messmann","sequence":"first","affiliation":[{"name":"III Medizinische Klinik, Universitatsklinikum Augsburg, Augsburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9994-8226","authenticated-orcid":false,"given":"Raf","family":"Bisschops","sequence":"first","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Catholic University of Leuven (KUL), TARGID, University Hospital Leuven, Leuven, Belgium"}]},{"given":"Giulio","family":"Antonelli","sequence":"additional","affiliation":[{"name":"Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Ariccia, Rome, Italy"},{"name":"Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, Sapienza University of Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2691-7522","authenticated-orcid":false,"given":"Diogo","family":"Lib\u00e2nio","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto, Portugal"},{"name":"MEDCIDS, Faculty of Medicine, University of Porto, Porto, Portugal"}]},{"given":"Pieter","family":"Sinonquel","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Catholic University of Leuven (KUL), TARGID, University Hospital Leuven, Leuven, Belgium"}]},{"given":"Mohamed","family":"Abdelrahim","sequence":"additional","affiliation":[{"name":"Endoscopy Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6498-481X","authenticated-orcid":false,"given":"Omer F.","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Wellcome\/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK"},{"name":"Division of Surgery and Interventional Sciences, University College London Hospital, London, UK"},{"name":"Gastrointestinal Services, University College London Hospital, London, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9787-8175","authenticated-orcid":false,"given":"Miguel","family":"Areia","sequence":"additional","affiliation":[{"name":"Gastroenterology Department, Portuguese Oncology Institute of Coimbra, Coimbra, Portugal"}]},{"given":"Jacques J. G. H. M.","family":"Bergman","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, The Netherlands"}]},{"given":"Pradeep","family":"Bhandari","sequence":"additional","affiliation":[{"name":"Endoscopy Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8194-2670","authenticated-orcid":false,"given":"Ivo","family":"Boskoski","sequence":"additional","affiliation":[{"name":"Digestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4363-0745","authenticated-orcid":false,"given":"Evelien","family":"Dekker","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, The Netherlands"}]},{"given":"Dirk","family":"Domagk","sequence":"additional","affiliation":[{"name":"Department of Medicine I, Josephs-Hospital Warendorf, Academic Teaching Hospital, University of Muenster, Warendorf, Germany"}]},{"given":"Alanna","family":"Ebigbo","sequence":"additional","affiliation":[{"name":"III Medizinische Klinik, Universitatsklinikum Augsburg, Augsburg, Germany"}]},{"given":"Tom","family":"Eelbode","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering (ESAT\/PSI), Medical Imaging Research Center, KU Leuven, Leuven, Belgium"}]},{"given":"Rami","family":"Eliakim","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Sheba Medical Center Tel Hashomer & Sackler School of Medicine, Tel-Aviv University, Ramat Gan, Israel"}]},{"given":"Michael","family":"H\u00e4fner","sequence":"additional","affiliation":[{"name":"2nd Medical Department, Barmherzige Schwestern Krankenhaus, Vienna, Austria"}]},{"given":"Rehan J.","family":"Haidry","sequence":"additional","affiliation":[{"name":"Wellcome\/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK"},{"name":"Division of Surgery and Interventional Sciences, University College London Hospital, London, UK"}]},{"given":"Rodrigo","family":"Jover","sequence":"additional","affiliation":[{"name":"Servicio de Gastroenterolog\u00eda, Hospital General Universitario Dr. Balmis, Instituto de Investigaci\u00f3n Biom\u00e9dica de Alicante ISABIAL, Departamento de Medicina Cl\u00ednica, Universidad Miguel Hern\u00e1ndez, Alicante, Spain"}]},{"given":"Michal F.","family":"Kaminski","sequence":"additional","affiliation":[{"name":"Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway"},{"name":"Department of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland"},{"name":"Department of Oncological Gastroenterology and Department of Cancer Prevention, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland"}]},{"given":"Roman","family":"Kuvaev","sequence":"additional","affiliation":[{"name":"Endoscopy Department, Yaroslavl Regional Cancer Hospital, Yaroslavl, Russian Federation"},{"name":"Department of Gastroenterology, Faculty of Additional Professional Education, N.A. Pirogov Russian National Research Medical University, Moscow, Russian Federation"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2262-0334","authenticated-orcid":false,"given":"Yuichi","family":"Mori","sequence":"additional","affiliation":[{"name":"Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway"},{"name":"Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan"}]},{"given":"Maxime","family":"Palazzo","sequence":"additional","affiliation":[{"name":"European Hospital, Marseille, France"}]},{"given":"Alessandro","family":"Repici","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy"},{"name":"IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5013-0514","authenticated-orcid":false,"given":"Emanuele","family":"Rondonotti","sequence":"additional","affiliation":[{"name":"Gastroenterology Unit, Valduce Hospital, Como, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9507-0295","authenticated-orcid":false,"given":"Matthew D.","family":"Rutter","sequence":"additional","affiliation":[{"name":"North Tees and Hartlepool NHS Foundation Trust, Stockton-on-Tees, UK"},{"name":"Population Health Sciences Institute, Newcastle University, Newcastle, UK"}]},{"given":"Yutaka","family":"Saito","sequence":"additional","affiliation":[{"name":"Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan"}]},{"given":"Prateek","family":"Sharma","sequence":"additional","affiliation":[{"name":"Gastroenterology and Hepatology Division, University of Kansas School of Medicine, Kansas, USA"},{"name":"Kansas City VA Medical Center, Kansas City, USA"}]},{"given":"Cristiano","family":"Spada","sequence":"additional","affiliation":[{"name":"Digestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy"},{"name":"Digestive Endoscopy, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy"}]},{"given":"Marco","family":"Spadaccini","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy"},{"name":"IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy"}]},{"given":"Andrew","family":"Veitch","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK"}]},{"given":"Ian M.","family":"Gralnek","sequence":"additional","affiliation":[{"name":"Ellen and Pinchas Mamber Institute of Gastroenterology and Hepatology, Emek Medical Center, Afula, Israel"},{"name":"Rappaport Faculty of Medicine, Technion Israel Institute of Technology, Haifa, Israel"}]},{"given":"Cesare","family":"Hassan","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy"},{"name":"IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy"}]},{"given":"Mario","family":"Dinis-Ribeiro","sequence":"additional","affiliation":[{"name":"Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto, Portugal"}]}],"member":"194","published-online":{"date-parts":[[2022,10,21]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"1155","DOI":"10.1055\/a-1031-7657","article-title":"Advanced imaging for detection and differentiation of colorectal neoplasia: European Society of Gastrointestinal Endoscopy (ESGE) Guideline \u2013 Update 2019","volume":"51","author":"R Bisschops","year":"2019","journal-title":"Endoscopy"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"150636","DOI":"10.1016\/j.tgie.2019.150636","article-title":"Barriers and pitfalls for artificial intelligence in gastroenterology: Ethical and regulatory issues","author":"O F Ahmad","year":"2019","journal-title":"Tech Gastrointest Endosc"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"150641","DOI":"10.1016\/j.tgie.2019.150641","article-title":"Artificial intelligence in gastroenterology","author":"M Byrne","year":"2019","journal-title":"Tech Gastrointest Endosc"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"150640","DOI":"10.1016\/j.tgie.2019.150640","article-title":"Using artificial intelligence to improve adequacy of inspection in gastrointestinal endoscopy","author":"P C de Groen","year":"2019","journal-title":"Tech Gastrointest Endosc"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2020.04.044","article-title":"Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy Summit","author":"S Parasa","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11938-020-00287-x","article-title":"Artificial intelligence for colorectal polyp detection and characterization","author":"Y Mori","year":"2020","journal-title":"Curr Treat Options Gastroenterol"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2019-320466","article-title":"Machine learning in GI endoscopy: practical guidance in how to interpret a novel field","author":"F van der Sommen","year":"2020","journal-title":"Gut"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"843","DOI":"10.1055\/s-0042-113128","article-title":"Performance measures for upper gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative","volume":"48","author":"R Bisschops","year":"2016","journal-title":"Endoscopy"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1055\/s-0043-103411","article-title":"Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative","volume":"49","author":"M F Kaminski","year":"2017","journal-title":"Endoscopy"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1055\/a-0749-8767","article-title":"Performance measures for ERCP and endoscopic ultrasound: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative","volume":"50","author":"D Domagk","year":"2018","journal-title":"Endoscopy"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1055\/s-0035-1569580","article-title":"The European Society of Gastrointestinal Endoscopy Quality Improvement Initiative: developing performance measures","volume":"48","author":"M D Rutter","year":"2016","journal-title":"Endoscopy"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"E46","DOI":"10.1055\/s-0034-1365524","article-title":"How commonly is upper gastrointestinal cancer missed at endoscopy?","volume":"2","author":"S Menon","year":"2014","journal-title":"A meta-analysis. Endosc Int Open"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1097\/MEG.0000000000000657","article-title":"Missing rate for gastric cancer during upper gastrointestinal endoscopy: a systematic review and meta-analysis","volume":"28","author":"A R Pimenta-Melo","year":"2016","journal-title":"Eur J Gastroenterol Hepatol"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1055\/a-1500-3730","article-title":"Endoscopists\u2019 diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies","author":"L Frazzoni","year":"2021","journal-title":"Endoscopy"},{"key":"ref15","doi-asserted-by":"publisher","first-page":"2161","DOI":"10.1136\/gutjnl-2018-317366","article-title":"Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy","volume":"68","author":"L Wu","year":"2019","journal-title":"Gut"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.gie.2019.09.016","article-title":"Comparing blind spots of unsedated ultrafine, sedated, and unsedated conventional gastroscopy with and without artificial intelligence: a prospective, single-blind, 3-parallel-group, randomized, single-center trial","volume":"91","author":"D Chen","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/s00464-020-08236-6","article-title":"Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy","volume":"36","author":"S J Choi","year":"2022","journal-title":"Surg Endosc"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.dld.2020.11.017","article-title":"Intelligent detection endoscopic assistant: An artificial intelligence-based system for monitoring blind spots during esophagogastroduodenoscopy in real-time","volume":"53","author":"Y-D Li","year":"2021","journal-title":"Dig Liver Dis"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1055\/a-0855-3532","article-title":"A deep neural network improves endoscopic detection of early gastric cancer without blind spots","volume":"51","author":"L Wu","year":"2019","journal-title":"Endoscopy"},{"key":"ref20","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1049\/htl.2019.0066","article-title":"Upper gastrointestinal anatomy detection with multi-task convolutional neural networks","volume":"6","author":"Z Xu","year":"2019","journal-title":"Healthc Technol Lett"},{"key":"ref21","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1177\/2050640618811477","article-title":"Rate of missed oesophageal cancer at routine endoscopy and survival outcomes: A multicentric cohort study","volume":"7","author":"E Rodr\u00edguez de Santiago","year":"2019","journal-title":"United Eur Gastroenterol J"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1016\/j.gie.2011.01.060","article-title":"Trainee participation is associated with increased small adenoma detection","volume":"73","author":"A M Buchner","year":"2011","journal-title":"Gastrointest Endosc"},{"key":"ref23","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1038\/ajg.2012.237","article-title":"Nurse observation during colonoscopy increases polyp detection: a randomized prospective study","volume":"108","author":"H R Aslanian","year":"2013","journal-title":"Am J Gastroenterol"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"1094","DOI":"10.1016\/j.gie.2011.06.033","article-title":"Participation by experienced endoscopy nurses increases the detection rate of colon polyps during a screening colonoscopy: a multicenter, prospective, randomized study","volume":"74","author":"C K Lee","year":"2011","journal-title":"Gastrointest Endosc"},{"key":"ref25","doi-asserted-by":"publisher","first-page":"1566","DOI":"10.1200\/JCO.2009.25.4680","article-title":"Early detection of superficial squamous cell carcinoma in the head and neck region and esophagus by narrow band imaging: a multicenter randomized controlled trial","volume":"28","author":"M Muto","year":"2010","journal-title":"J Clin Oncol"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1016\/j.gie.2016.03.1472","article-title":"A tablet-interfaced high-resolution microendoscope with automated image interpretation for real-time evaluation of esophageal squamous cell neoplasia","volume":"84","author":"T Quang","year":"2016","journal-title":"Gastrointest Endosc"},{"key":"ref27","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.cgh.2014.07.030","article-title":"Quantitative analysis of high-resolution microendoscopic images for diagnosis of esophageal squamous cell carcinoma","volume":"13","author":"D Shin","year":"2015","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10388-020-00716-x","article-title":"Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma","author":"Y Tokai","year":"2020","journal-title":"Esophagus"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.gie.2019.08.018","article-title":"Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)","volume":"91","author":"L Guo","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1007\/s10388-018-0651-7","article-title":"Diagnosis using deep-learning artificial intelligence based on the endocytoscopic observation of the esophagus","volume":"16","author":"Y Kumagai","year":"2019","journal-title":"Esophagus"},{"key":"ref31","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1177\/2050640618821800","article-title":"Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study","volume":"7","author":"M Everson","year":"2019","journal-title":"United Eur Gastroenterol J"},{"key":"ref32","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.gie.2018.07.037","article-title":"Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks","volume":"89","author":"Y Horie","year":"2019","journal-title":"Gastrointest Endosc"},{"key":"ref33","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.gie.2019.09.034","article-title":"Endoscopic detection and differentiation of esophageal lesions using a deep neural network","volume":"91","author":"M Ohmori","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2020-321922","article-title":"Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis","author":"J Arribas","year":"2020","journal-title":"Gut"},{"key":"ref35","doi-asserted-by":"publisher","first-page":"8591387","DOI":"10.1155\/2018\/8591387","article-title":"Diagnostic accuracy of magnifying endoscopy with narrow band imaging and its diagnostic value for invasion depth staging in esophageal squamous cell carcinoma: A systematic review and meta-analysis","volume":"2018","author":"T Yu","year":"2018","journal-title":"BioMed Res Int"},{"key":"ref36","first-page":"41","article-title":"Magnification endoscopy in esophageal squamous cell carcinoma: a review of the intrapapillary capillary loop classification","volume":"28","author":"H Inoue","year":"2015","journal-title":"Ann Gastroenterol"},{"key":"ref37","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.gie.2019.04.245","article-title":"Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists","volume":"90","author":"K Nakagawa","year":"2019","journal-title":"Gastrointest Endosc"},{"key":"ref38","doi-asserted-by":"publisher","first-page":"1037","DOI":"10.1007\/s00535-020-01716-5","article-title":"Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence","volume":"55","author":"Y Shimamoto","year":"2020","journal-title":"J Gastroenterol"},{"key":"ref39","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1053\/j.gastro.2015.11.040","article-title":"Magnitude of missed esophageal adenocarcinoma after Barrett\u2019s esophagus diagnosis: A systematic review and meta-analysis","volume":"150","author":"K Visrodia","year":"2016","journal-title":"Gastroenterology"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1136\/gutjnl-2019-319460","article-title":"Real-time use of artificial intelligence in the evaluation of cancer in Barrett\u2019s oesophagus","volume":"69","author":"A Ebigbo","year":"2020","journal-title":"Gut"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2019.12.049","article-title":"Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett\u2019s esophagus (with video)","author":"R Hashimoto","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2019.12.048","article-title":"Deep learning algorithm detection of Barrett\u2019s neoplasia with high accuracy during live endoscopic procedures: a pilot study (with video)","author":"A J de Groof","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref43","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1016\/j.gie.2020.06.034","article-title":"Accuracy of artificial intelligence-assisted detection of upper GI lesions: a systematic review and meta-analysis","volume":"92","author":"T KL Lui","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref44","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1053\/j.gastro.2019.09.051","article-title":"AGA clinical practice update on endoscopic treatment of Barrett\u2019s esophagus with dysplasia and\/or early cancer: Expert review","volume":"158","author":"P Sharma","year":"2020","journal-title":"Gastroenterology"},{"key":"ref45","doi-asserted-by":"publisher","first-page":"2794","DOI":"10.3390\/jcm10132794","article-title":"Systematic review on optical diagnosis of early gastrointestinal neoplasia","volume":"10","author":"A Wagner","year":"2021","journal-title":"J Clin Med"},{"key":"ref46","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1053\/j.gastro.2019.11.030","article-title":"Deep-learning system detects neoplasia in patients with Barrett\u2019s esophagus with higher accuracy than endoscopists in a multistep training and validation study with benchmarking","volume":"158","author":"A J de Groof","year":"2020","journal-title":"Gastroenterology"},{"key":"ref47","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1055\/a-1311-8570","article-title":"Endoscopic prediction of submucosal invasion in Barrett\u2019s cancer with the use of artificial intelligence: a pilot study","volume":"53","author":"A Ebigbo","year":"2021","journal-title":"Endoscopy"},{"key":"ref48","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1055\/a-0859-1883","article-title":"Management of epithelial precancerous conditions and lesions in the stomach (MAPS II): European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter and Microbiota Study Group (EHMSG), European Society of Pathology (ESP), and Sociedade Portuguesa de Endoscopia Digestiva (SPED) guideline update 2019","volume":"51","author":"P Pimentel-Nunes","year":"2019","journal-title":"Endoscopy"},{"key":"ref49","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1111\/hel.12050","article-title":"Screening for gastric cancer and surveillance of premalignant lesions: a systematic review of cost-effectiveness studies","volume":"18","author":"M Areia","year":"2013","journal-title":"Helicobacter"},{"key":"ref50","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1177\/2050640617722902","article-title":"Endoscopic screening for gastric cancer: A cost-utility analysis for countries with an intermediate gastric cancer risk","volume":"6","author":"M Areia","year":"2018","journal-title":"United Eur Gastroenterol J"},{"key":"ref51","doi-asserted-by":"publisher","first-page":"e83959","DOI":"10.1371\/journal.pone.0083959","article-title":"A cost-effectiveness analysis evaluating endoscopic surveillance for gastric cancer for populations with low to intermediate risk","volume":"8","author":"H J Zhou","year":"2013","journal-title":"PloS One"},{"key":"ref52","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1038\/s41395-018-0353-8","article-title":"OLGA gastritis staging for the prediction of gastric cancer risk: A long-term follow-up study of 7436 patients","volume":"113","author":"M Rugge","year":"2018","journal-title":"Am J Gastroenterol"},{"key":"ref53","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1136\/gutjnl-2021-324057","article-title":"Severity of gastric intestinal metaplasia predicts the risk of gastric cancer: a prospective multicentre cohort study (GCEP)","volume":"71","author":"J WJ Lee","year":"2022","journal-title":"Gut"},{"key":"ref54","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1055\/a-0808-3186","article-title":"Endoscopic grading of gastric intestinal metaplasia (EGGIM): a multicenter validation study","volume":"51","author":"G Esposito","year":"2019","journal-title":"Endoscopy"},{"key":"ref55","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1136\/gutjnl-2019-319347","article-title":"Deep-learning based detection of gastric precancerous conditions","volume":"69","author":"P Guimar\u00e3es","year":"2020","journal-title":"Gut"},{"key":"ref56","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1055\/a-1811-7025","article-title":"Endoscopic submucosal dissection for superficial gastrointestinal lesions: European Society of Gastrointestinal Endoscopy (ESGE) Guideline \u2013 Update 2022","volume":"54","author":"P Pimentel-Nunes","year":"2022","journal-title":"Endoscopy"},{"key":"ref57","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1007\/pl00011720","article-title":"Incidence of lymph node metastasis from early gastric cancer: estimation with a large number of cases at two large centers","volume":"3","author":"T Gotoda","year":"2000","journal-title":"Gastric Cancer"},{"key":"ref58","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1016\/j.gie.2016.10.018","article-title":"Prediction model for non-curative resection of endoscopic submucosal dissection in patients with early gastric cancer","volume":"85","author":"E H Kim","year":"2017","journal-title":"Gastrointest Endosc"},{"key":"ref59","doi-asserted-by":"publisher","first-page":"600","DOI":"10.4253\/wjge.v8.i17.600","article-title":"Review of small-bowel cleansing scales in capsule endoscopy: A panoply of choices","volume":"8","author":"A Ponte","year":"2016","journal-title":"World J Gastrointest Endosc"},{"key":"ref60","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.3390\/diagnostics11061127","article-title":"Development and verification of a deep learning algorithm to evaluate small-bowel preparation quality","volume":"11","author":"J H Nam","year":"2021","journal-title":"Diagn Basel Switz"},{"key":"ref61","doi-asserted-by":"publisher","first-page":"4417","DOI":"10.1038\/s41598-021-81686-7","article-title":"Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy","volume":"11","author":"J H Nam","year":"2021","journal-title":"Sci Rep"},{"key":"ref62","doi-asserted-by":"publisher","first-page":"E646","DOI":"10.1055\/a-0581-8758","article-title":"Development and validation of a computed assessment of cleansing score for evaluation of quality of small-bowel visualization in capsule endoscopy","volume":"6","author":"Ali E Abou","year":"2018","journal-title":"Endosc Int Open"},{"key":"ref63","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1111\/den.12599","article-title":"Validated computed cleansing score for video capsule endoscopy","volume":"28","author":"A Klein","year":"2016","journal-title":"Dig Endosc Off J Jpn Gastroenterol Endosc Soc"},{"key":"ref64","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1055\/a-1301-3841","article-title":"A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy","volume":"53","author":"R Leenhardt","year":"2021","journal-title":"Endoscopy"},{"key":"ref65","doi-asserted-by":"publisher","first-page":"17706","DOI":"10.1038\/s41598-020-74668-8","article-title":"Automatic evaluation of degree of cleanliness in capsule endoscopy based on a novel CNN architecture","volume":"10","author":"R Noorda","year":"2020","journal-title":"Sci Rep"},{"key":"ref66","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1055\/a-0889-9586","article-title":"Performance measures for small-bowel endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative","volume":"51","author":"C Spada","year":"2019","journal-title":"Endoscopy"},{"key":"ref67","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/j.compbiomed.2017.08.029","article-title":"Intelligent visual localization of wireless capsule endoscopes enhanced by color information","volume":"89","author":"G Dimas","year":"2017","journal-title":"Comput Biol Med"},{"key":"ref68","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","article-title":"Distinctive image features from scale-invariant keypoints","volume":"60","author":"D G Lowe","year":"2004","journal-title":"Int J Comput Vis"},{"key":"ref69","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1053\/j.gastro.2016.12.032","article-title":"Clinical practice guidelines for the use of video capsule endoscopy","volume":"152","author":"R A Enns","year":"2017","journal-title":"Gastroenterology"},{"key":"ref70","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1055\/a-1185-1289","article-title":"Curriculum for small-bowel capsule endoscopy and device-assisted enteroscopy training in Europe: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement","volume":"52","author":"R Sidhu","year":"2020","journal-title":"Endoscopy"},{"key":"ref71","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1016\/j.gie.2020.04.039","article-title":"Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis","volume":"92","author":"S Soffer","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref72","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1111\/jgh.15341","article-title":"Artificial intelligence in small bowel capsule endoscopy \u2013 current status, challenges and future promise","volume":"36","author":"X Dray","year":"2021","journal-title":"J Gastroenterol Hepatol"},{"key":"ref73","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/s00464-021-08689-3","article-title":"Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis","volume":"36","author":"K Qin","year":"2022","journal-title":"Surg Endosc"},{"key":"ref74","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.1053\/j.gastro.2019.06.025","article-title":"Gastroenterologist-level identification of small-bowel diseases and normal variants by capsule endoscopy using a deep-learning model","volume":"157","author":"Z Ding","year":"2019","journal-title":"Gastroenterology"},{"key":"ref75","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1016\/j.gie.2020.04.080","article-title":"Automatic detection of various abnormalities in capsule endoscopy videos by a deep learning-based system: a multicenter study","volume":"93","author":"T Aoki","year":"2021","journal-title":"Gastrointest Endosc"},{"key":"ref76","doi-asserted-by":"publisher","first-page":"e000753","DOI":"10.1136\/bmjgast-2021-000753","article-title":"Deep learning and capsule endoscopy: automatic identification and differentiation of small bowel lesions with distinct haemorrhagic potential using a convolutional neural network","volume":"8","author":"M J Mascarenhas Saraiva","year":"2021","journal-title":"BMJ Open Gastroenterol"},{"key":"ref77","doi-asserted-by":"publisher","first-page":"101742","DOI":"10.1016\/j.bpg.2021.101742","article-title":"Small bowel capsule endoscopy and artificial intelligence: First or second reader?","volume":"52\u201353","author":"S Piccirelli","year":"2021","journal-title":"Best Pract Res Clin Gastroenterol"},{"key":"ref78","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1038\/ajg.2015.417","article-title":"Validated scales for colon cleansing: A systematic review","volume":"111","author":"R Parmar","year":"2016","journal-title":"Am J Gastroenterol"},{"key":"ref79","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/j.gie.2019.11.026","article-title":"A novel artificial intelligence system for the assessment of bowel preparation (with video)","volume":"91","author":"J Zhou","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref80","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1016\/j.gie.2008.05.057","article-title":"The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research","volume":"69","author":"E J Lai","year":"2009","journal-title":"Gastrointest Endosc"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1055\/a-1706-6174","article-title":"Effect of an artificial intelligence-based quality improvement system on efficacy of a computer-aided detection system in colonoscopy: a four-group parallel study","author":"L Yao","year":"2021","journal-title":"Endoscopy"},{"key":"ref82","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":"D Gong","year":"2020","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"ref83","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1016\/j.gie.2011.03.003","article-title":"Quality of colonoscopy withdrawal technique and variability in adenoma detection rates (with videos)","volume":"74","author":"R H Lee","year":"2011","journal-title":"Gastrointest Endosc"},{"key":"ref84","doi-asserted-by":"publisher","first-page":"1298","DOI":"10.1056\/NEJMoa1309086","article-title":"Adenoma detection rate and risk of colorectal cancer and death","volume":"370","author":"D A Corley","year":"2014","journal-title":"N Engl J Med"},{"key":"ref85","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1056\/NEJMoa0907667","article-title":"Quality indicators for colonoscopy and the risk of interval cancer","volume":"362","author":"M F Kaminski","year":"2010","journal-title":"N Engl J Med"},{"key":"ref86","doi-asserted-by":"publisher","first-page":"378","DOI":"10.1055\/s-0043-103411","article-title":"Performance measures for lower gastrointestinal endoscopy: a European Society of Gastrointestinal Endoscopy (ESGE) Quality Improvement Initiative","volume":"49","author":"M F Kaminski","year":"2017","journal-title":"Endoscopy"},{"key":"ref87","doi-asserted-by":"publisher","first-page":"1069","DOI":"10.1053\/j.gastro.2018.06.037","article-title":"Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy","volume":"155","author":"G Urban","year":"2018","journal-title":"Gastroenterology"},{"key":"ref88","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1136\/gutjnl-2019-319914","article-title":"New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection","volume":"69","author":"C Hassan","year":"2020","journal-title":"Gut"},{"key":"ref89","doi-asserted-by":"publisher","first-page":"2027","DOI":"10.1053\/j.gastro.2018.04.003","article-title":"Artificial intelligence-assisted polyp detection for colonoscopy: initial experience","volume":"154","author":"M Misawa","year":"2018","journal-title":"Gastroenterology"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2020.06.021","article-title":"Computer-aided detection-assisted colonoscopy: classification and relevance of false positives","author":"C Hassan","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref91","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1053\/j.gastro.2020.04.062","article-title":"Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial","volume":"159","author":"A Repici","year":"2020","journal-title":"Gastroenterology"},{"key":"ref92","doi-asserted-by":"publisher","first-page":"1813","DOI":"10.1136\/gutjnl-2018-317500","article-title":"Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study","volume":"68","author":"P Wang","year":"2019","journal-title":"Gut"},{"key":"ref93","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":"P Wang","year":"2020","journal-title":"Lancet Gastroenterol Hepatol"},{"key":"ref94","doi-asserted-by":"publisher","first-page":"13","DOI":"10.4103\/sjg.SJG_377_19","article-title":"Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy","volume":"26","author":"W-N Liu","year":"2020","journal-title":"Saudi J Gastroenterol"},{"key":"ref95","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.gie.2019.08.026","article-title":"Impact of a real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with videos)","volume":"91","author":"J-R Su","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2020.06.023","article-title":"Lower adenoma miss rate of computer-aided detection-assisted colonoscopy vs routine white-light colonoscopy in a prospective tandem study","author":"P Wang","year":"2020","journal-title":"Gastroenterology"},{"key":"ref97","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1053\/j.gastro.2022.03.007","article-title":"Impact of artificial intelligence on miss rate of colorectal neoplasia","author":"M B Wallace","year":"2022","journal-title":"Gastroenterology"},{"key":"ref98","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1007\/s00535-021-01808-w","article-title":"Reducing adenoma miss rate of colonoscopy assisted by artificial intelligence: a multicenter randomized controlled trial","volume":"56","author":"S Kamba","year":"2021","journal-title":"J Gastroenterol"},{"key":"ref99","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1016\/j.cgh.2021.09.009","article-title":"Deep learning computer-aided polyp detection reduces adenoma miss rate: a United States multi-center randomized tandem colonoscopy study (CADeT-CS Trial)","volume":"20","author":"J R Glissen Brown","year":"2022","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2021-324471","article-title":"Artificial intelligence and colonoscopy experience: lessons from two randomised trials","author":"A Repici","year":"2021","journal-title":"Gut"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2020.06.059","article-title":"Performance of artificial intelligence for colonoscopy regarding adenoma and polyp detection: a meta-analysis","author":"C Hassan","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1055\/a-1201-7165","article-title":"Artificial intelligence for polyp detection during colonoscopy: A systematic review and meta-analysis","author":"I Barua","year":"2020","journal-title":"Endoscopy"},{"key":"ref103","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1016\/j.gie.2021.12.031","article-title":"Comparing the number and relevance of false activations between 2 artificial intelligence computer-aided detection systems: the NOISE study","volume":"95","author":"M Spadaccini","year":"2022","journal-title":"Gastrointest Endosc"},{"key":"ref104","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1016\/j.gie.2012.01.020","article-title":"Prevalence of advanced histological features in diminutive and small colon polyps","volume":"75","author":"N Gupta","year":"2012","journal-title":"Gastrointest Endosc"},{"key":"ref105","doi-asserted-by":"publisher","first-page":"544","DOI":"10.7326\/M16-2891","article-title":"Screening for colorectal cancer with fecal immunochemical testing with and without postpolypectomy surveillance colonoscopy: A cost-effectiveness analysis","volume":"167","author":"M JE Greuter","year":"2017","journal-title":"Ann Intern Med"},{"key":"ref106","doi-asserted-by":"publisher","first-page":"128","DOI":"10.20452\/pamw.15779","article-title":"Cost-effectiveness of colonoscopy in an organized screening program","volume":"131","author":"B Krzeczewski","year":"2021","journal-title":"Pol Arch Intern Med"},{"key":"ref107","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/j.bpg.2010.04.004","article-title":"Cost-effectiveness of colorectal cancer screening \u2013 an overview","volume":"24","author":"I Lansdorp-Vogelaar","year":"2010","journal-title":"Best Pract Res Clin Gastroenterol"},{"key":"ref108","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1093\/ajcp\/aqab021","article-title":"Life cycle greenhouse gas emissions of gastrointestinal biopsies in a surgical pathology laboratory","volume":"156","author":"I O Gordon","year":"2021","journal-title":"Am J Clin Pathol"},{"key":"ref109","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1016\/j.gie.2020.03.3759","article-title":"Cost savings in colonoscopy with artificial intelligence-aided polyp diagnosis: an add-on analysis of a clinical trial (with video)","volume":"92","author":"Y Mori","year":"2020","journal-title":"Gastrointest Endosc"},{"key":"ref110","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1016\/j.cgh.2010.05.018","article-title":"A resect and discard strategy would improve cost-effectiveness of colorectal cancer screening","volume":"8","author":"C Hassan","year":"2010","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref111","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1007\/s10620-014-3376-z","article-title":"Resect and discard approach to colon polyps: real-world applicability among academic and community gastroenterologists","volume":"60","author":"H T Vu","year":"2015","journal-title":"Dig Dis Sci"},{"key":"ref112","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1016\/j.gie.2011.01.023","article-title":"The American Society for Gastrointestinal Endoscopy PIVI (Preservation and Incorporation of Valuable Endoscopic Innovations) on real-time endoscopic assessment of the histology of diminutive colorectal polyps","volume":"73","author":"D K Rex","year":"2011","journal-title":"Gastrointest Endosc"},{"key":"ref113","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1055\/a-1689-5130","article-title":"Definition of competence standards for optical diagnosis of diminutive colorectal polyps: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement","volume":"54","author":"B BSL Houwen","year":"2022","journal-title":"Endoscopy"},{"key":"ref114","doi-asserted-by":"publisher","first-page":"357","DOI":"10.7326\/M18-0249","article-title":"Real-time use of artificial intelligence in identification of diminutive polyps during colonoscopy: A prospective study","volume":"169","author":"Y Mori","year":"2018","journal-title":"Ann Intern Med"},{"key":"ref115","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1056\/EVIDoa2200003","article-title":"Real-time artificial intelligence\u2013based optical diagnosis of neoplastic polyps during colonoscopy","author":"I Barua","year":"2022","journal-title":"NEJM Evid"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1016\/j.cgh.2022.04.045","article-title":"Artificial intelligence allows leaving-in-situ colorectal polyps","volume":"11","author":"C Hassan","year":"2022","journal-title":"Clin Gastroenterol Hepatol"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1055\/a-1852-0330","article-title":"Artificial intelligence assisted optical diagnosis for resect and discard strategy in clinical practice (Artificial intelligence BLI Characterization; ABC study)","author":"E Rondonotti","year":"2022","journal-title":"Endoscopy"},{"key":"ref118","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1053\/j.gastro.2017.05.047","article-title":"Risk stratification for covert invasive cancer among patients referred for colonic endoscopic mucosal resection: A large multicenter cohort","volume":"153","author":"N G Burgess","year":"2017","journal-title":"Gastroenterology"}],"container-title":["Endoscopy"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/a-1950-5694.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T02:50:03Z","timestamp":1669776603000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/a-1950-5694"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,21]]},"references-count":118,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2022,11,29]]},"published-print":{"date-parts":[[2022,12]]}},"URL":"https:\/\/doi.org\/10.1055\/a-1950-5694","archive":["Portico","CLOCKSS"],"relation":{},"ISSN":["0013-726X","1438-8812"],"issn-type":[{"value":"0013-726X","type":"print"},{"value":"1438-8812","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,21]]}}}