Impact of an artificial intelligence-aided endoscopic diagnosis system on improving endoscopy quality for trainees in colonoscopy: A prospective, randomized, multicenter study.

Daisuke YamaguchiRyo ShimodaKoichi MiyaharaTakahiro YukimotoYasuhisa SakataAyako TakamoriYumi MizutaYutaro FujimuraSuma InoueMichito TomonagaYuya OginoKohei EguchiKei IkedaYuichiro TanakaHironobu TakedomiHidenori HidakaTakashi AkutagawaNanae TsuruokaTakahiro NodaSeiji TsunadaMotohiro Esaki

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2023)

CAD EYE did not improve ADR but decreased the AMR and improved the ability to accurately locate and identify colorectal adenomas. CAD EYE can be assumed to be beneficial for improving colonoscopy quality in gastroenterology trainees.

Keyphrases

artificial intelligence
coronary artery disease
machine learning
big data
deep learning
general practice
quality improvement
ultrasound guided
primary care
emergency department
adverse drug