Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinoma

Conclusion The AI system could predict multiple LVLs with high sensitivity from images without iodine staining. The system could enable endoscopists to apply iodine staining more judiciously. [...] Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, GermanyArticle in Thieme eJournals: Table of contents  |  Abstract  |  Full text

Source: Endoscopy - February 4, 2021 Category: Gastroenterology Authors: Ikenoyama, Yohei Yoshio, Toshiyuki Tokura, Junki Naito, Sakiko Namikawa, Ken Tokai, Yoshitaka Yoshimizu, Shoichi Horiuchi, Yusuke Ishiyama, Akiyoshi Hirasawa, Toshiaki Tsuchida, Tomohiro Katayama, Naoyuki Tada, Tomohiro Fujisaki, Junko Tags: Original article Source Type: research