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Journal of Clinical Gastroenterology|May 8, 2020
Low Risk of Progression of Barrett's Esophagus to Neoplasia in WomenJames E Allen, Madhav Desai, Carlijn A M Roumans, et al.
Clinical and Translational Gastroenterology|December 19, 2024
International Validation of a Novel PEACE Scale to Improve the Quality of Upper Gastrointestinal Mucosal Inspection During EndoscopyMarcin Romańczyk, Madhav Desai, Michal F Kamiński, et al.
Gastroenterology|December 17, 2018
New and Recurrent Colorectal Cancers After Resection: a Systematic Review and Meta-analysis of Endoscopic Surveillance StudiesLorenzo Fuccio, Douglas Rex, Thierry Ponchon, et al.
The American Journal of Gastroenterology|February 10, 2026
Artificial Intelligence for Gastroenterology Practice: A Modified Delphi ConsensusSeth A Gross, Aasma Shaukat, Anita Afzali, et al.
Endoscopy|May 5, 2021
Endoscopists' diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studiesLeonardo Frazzoni, Julia Arribas, Giulio Antonelli, et al.
The Lancet. Gastroenterology & Hepatology|July 23, 2021
Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trialLianlian Wu, Renduo Shang, Prateek Sharma, et al.
Clinical Gastroenterology and Hepatology : the Official Clinical Practice Journal of the American Gastroenterological Association|December 1, 2010
Patients with nondysplastic Barrett's esophagus have low risks for developing dysplasia or esophageal adenocarcinomaSachin Wani, Gary Falk, Matthew Hall, et al.
Endoscopy|April 25, 2015
Clinical outcomes in patients with a diagnosis of "indefinite for dysplasia" in Barrett's esophagus: a multicenter cohort studyPreetika Sinh, Rajeswari Anaparthy, Patrick E Young, et al.
Gastroenterology|April 15, 2023
Combination of Mucosa-Exposure Device and Computer-Aided Detection for Adenoma Detection During Colonoscopy: A Randomized TrialMarco Spadaccini, Cesare Hassan, Emanuele Rondonotti, et al.
The Lancet. Digital Health|September 20, 2021
Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational studyWei Zhou, Liwen Yao, Huiling Wu, et al.
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