Abstract
Recent advancements in artificial intelligence (AI) have had a profound impact on the field of gastrointestinal endoscopy, particularly in the realm of colonoscopy. Recent studies have shown excellent performance of AI models in both computer-aided detection (CADe) and computer-aided diagnosis (CADx) of polyps. Moreover, AI has shown promising results in other aspects of colonoscopy such as prediction of depth of tumor invasion, colonoscopy quality assurance, and AI applications in inflammatory bowel disease.In this review, we summarize the recent literature on the application of AI in colonoscopy, and review the limitations and challenges of existing AI technologies and future directions for this field.
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