- Recently, the use of computer-aided detection (CADe) for colonoscopy has been investigated to improve the adenoma detection rate (ADR). We aimed to assess the efficacy of a regulatory-approved CADe in a large-scale study with high numbers of patients and endoscopists.
- Artificial intelligence (AI)–assisted polyp detection systems for colonoscopic use are currently attracting attention because they may reduce the possibility of missed adenomas. However, few systems have the necessary regulatory approval for use in clinical practice. We aimed to develop an AI-assisted polyp detection system and to validate its performance using a large colonoscopy video database designed to be publicly accessible.
- Sessile serrated adenomas/polyps (SSA/Ps) should be resected because they have potential to be cancer, however endoscopic differentiation of SSA/Ps from hyperplastic polyps or flat adenomas with endoscopists’ eyes is considered difficult. In this pilot study, we evaluated the performance of the newly developed artificial intelligence (AI) in endoscopic identification of SSA/Ps.