Tsutomu Takeda, Daisuke Asaoka, Hiroya Ueyama, Daiki Abe, Maiko Suzuki, Yoshihiro Inami, Yasuko Uemura, Momoko Yamamoto, Tomoyo Iwano, Ryota Uchida, Hisanori Utsunomiya, Shotaro Oki, Nobuyuki Suzuki, Atsushi Ikeda, Yoichi Akazawa, Kohei Matsumoto, Kumiko Ueda, Mariko Hojo, Shuko Nojiri, Tomohiro Tada, Akihito Nagahara
Background: Barrett's esophagus and esophageal adenocarcinoma cases are increasing as gastroesophageal reflux disease increases. Using artificial intelligence (AI) and linked color imaging (LCI), our aim was to establish a method of diagnosis for short-segment Barrett's esophagus (SSBE). Methods: We retrospectively selected 624 consecutive patients in total at our hospital, treated between May 2017 and March 2020, who experienced an esophagogastroduodenoscopy with white light imaging (WLI) and LCI. Images were randomly chosen as data for learning from WLI: 542 (SSBE+/- 348/194) of 696 (SSBE+/- 444/252); and LCI: 643 (SSBE+/- 446/197) of 805 (SSBE+/- 543/262)...
March 29, 2024: Journal of Clinical Medicine