Development and validation of a deep learning-based algorithm for colonoscopy quality assessment.

Yuan-Yen ChangPai-Chi LiRuey-Feng ChangYu-Yao ChangSiou-Ping HuangYang-Yuan ChenWen-Yen ChangHsu-Heng Yen

Published in: Surgical endoscopy (2022)

We proposed a novel deep learning-based algorithm that used colonoscopy images for quality assurance purposes. This model can be used to automatically assess intra-procedural colonoscopy quality indicators in clinical practice.

Keyphrases

deep learning
convolutional neural network
clinical practice
artificial intelligence
colorectal cancer screening
machine learning
quality improvement