Clinical usefulness of a deep learning-based system as the first screening on small-bowel capsule endoscopy reading.

Tomonori AokiAtsuo YamadaKazuharu AoyamaHiroaki SaitoGota FujisawaNariaki OdawaraRyo KondoAkiyoshi TsuboiRei IshibashiAyako NakadaRyota NiikuraMitsuhiro FujishiroShiro OkaSoichiro IshiharaTomoki MatsudaMasato NakahoriShinji TanakaKazuhiko KoikeTomohiro Tada

Published in: Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society (2019)

Our CNN-based system for capsule endoscopy videos reduced the reading time of endoscopists without decreasing the detection rate of mucosal breaks. However, the reading level of endoscopists should be considered when using the system.

Keyphrases

small bowel
working memory
deep learning
convolutional neural network
loop mediated isothermal amplification
artificial intelligence
real time pcr
ulcerative colitis
quantum dots