Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situation.

Kotaro WakiRyu IshiharaYusuke KatoAyaka ShojiTakahiro InoueKatsunori MatsuedaMuneaki MiyakeYusaku ShimamotoHiromu Fukuda Noriko MatsuuraYoichiro OnoKenshi YaoSatoru HashimotoShuji TeraiMasayasu OhmoriKyosuke TanakaMotohiko KatoTakashi ShonoHideaki MiyamotoYasuhito TanakaTomohiro Tada

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2021)

Our AI system had high sensitivity for the detection of ESCC. As a support tool, the system has the potential to enhance detection of ESCC without reducing specificity. (UMIN000039645).

Keyphrases

artificial intelligence
loop mediated isothermal amplification
machine learning
real time pcr
big data
deep learning
label free
sensitive detection