Background Artificial intelligence (AI) needs to be accepted and understood by physicians
and medical students, but few have systematically assessed their attitudes. We investigated …

Abstract Backgrounds and Aims Mucosal healing (MH) in inflammatory bowel diseases
(IBD) is an important landmark for clinical decision making. Artificial intelligence systems (AI) …

Gastrointestinal (GI) tract diseases are responsible for substantial morbidity and mortality
worldwide, including colorectal cancer, which has shown a rising incidence among adults …

Abstract Background and Aim Pan-enteric capsule endoscopy [PCE] is a highly sensitive but
time-consuming tool for detecting pathology. Artificial intelligence [AI] algorithms might offer …

Artificial intelligence (AI) is entering into daily life and has the potential to play a significant
role in healthcare. Aim was to investigate the perspectives (knowledge, experience, and …

Video capsule endoscopy (VCE) of the small-bowel has been proven to accurately diagnose
small-bowel inflammation and to predict future clinical flares among patients with Crohn's …

By automatically classifying the stomach, small bowel, and colon, the reading time of the
wireless capsule endoscopy (WCE) can be reduced. In addition, it is an essential first …

Background: Artificial intelligence (AI) is rapidly infiltrating multiple areas in medicine, with
gastrointestinal endoscopy paving the way in both research and clinical applications …

BACKGROUND: Reading capsule endoscopy (CE) is time-consuming. The Express View
(EV)(IntroMedic, Seoul, Korea) software was designed to shorten CE video reading. Our …

(1) Background: Villous atrophy is an indication for small bowel capsule endoscopy (SBCE).
However, SBCE findings are not described uniformly and atrophic features are sometimes …