In Annals of coloproctology
The development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions. We also explore endoscopists' perceptions and attitudes toward the use of this technology, and discuss factors influencing its uptake in clinical practice.
Tham Sarah, Koh Frederick H, Ladlad Jasmine, Chue Koy-Min, Lin Cui-Li, Teo Eng-Kiong, Foo Fung-Joon
2023-Mar-10
Adenoma, Artificial intelligence, Biodmedical technology assessment, Colonic polyps, Colonoscopy
