In vivo computer-aided diagnosis of colorectal polyps using white light endoscopy.

ABSTRACT: Background and study aims  Artificial intelligence is currently able to accurately predict the histology of colorectal polyps. However, systems developed to date use complex optical technologies and have not been tested in vivo. The objective of this study was to evaluate the efficacy of a new deep learning-based optical diagnosis system, ATENEA, in a real clinical setting using only high-definition white light endoscopy (WLE) and to compare its performance with endoscopists. Methods  ATENEA was prospectively tested in real life on consecutive polyps detected in colorectal cancer screening colonoscopies at Hospital Clínic. No images were discarded, and only WLE was used. The in vivo ATENEA's prediction (adenoma vs non-adenoma) was compared with the prediction of four staff en

SUBMITTER: Garcia-Rodriguez A 

PROVIDER: S-EPMC9473851 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature