Performance evaluation of a computer-aided polyp detection system with artificial intelligence for colonoscopy.

Akiko ChinoDaisuke IdeSeiichiro AbeShigetaka YoshinagaKatsuro IchimasaToyoki KudoYuki NinomiyaShiro OkaShinji TanakaMasahiro Igarashi

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

The tested device demonstrated high sensitivity under strict detection success/failure criteria using a temporal concept and could identify the presence and location lesions with sensitivity approaching that of experienced endoscopists. This study is registered with the University Hospital Medical Information Network (UMIN000044622).

Keyphrases

artificial intelligence
machine learning
big data
loop mediated isothermal amplification
deep learning
real time pcr
healthcare
quantum dots
social media
health information
sensitive detection