AI in GI: Leveraging CADe to Improve Colonoscopy Performance and Accuracy (ReachMD)

Computer-aided detection systems (CADe) are transforming adenoma detection and enhancing colonoscopy quality. Dr. Peter Buch sits down with Dr. Charles Kahi to unpack the latest American Gastroenterological Association (AGA) guideline, evidence from randomized controlled trials, and the practical implications of integrating AI tools into clinical practice. Dr. Kahi is a Professor of Medicine at Indiana University School of Medicine, and he helped develop the AGA Living Clinical Practice Guideline on Computer-Aided Detection-Assisted Colonoscopy, which was published in Gastroenterology in 2025.