Artificial intelligence and computer-aided diagnosis for colonoscopy: where do we stand now?

Computer-aided diagnosis (CAD) for colonoscopy with use of artificial intelligence (AI) is catching increased attention of endoscopists. CAD allows automated detection and pathological prediction, namely optical biopsy, of colorectal polyps during real-time endoscopy, which help endoscopists avoid missing and/or misdiagnosing colorectal lesions. With the increased number of publications in this field and emergence of the AI medical device that have already secured regulatory approval, CAD in colonoscopy is now being implemented into clinical practice. On the other side, drawbacks and weak points of CAD in colonoscopy have not been thoroughly discussed. In this review, we provide an overview of CAD for optical biopsy of colorectal lesions with a particular focus on its clinical applications and limitations.

Automated summary

Computer-aided diagnosis (CAD) with artificial intelligence (AI) for colonoscopy is increasingly drawing attention. CAD allows automated detection and pathological prediction of colorectal polyps during real-time endoscopy, aiding in avoiding missed or misdiagnosed lesions. As CAD technology gains regulatory approval and clinical implementation, its drawbacks and limitations need further discussion.