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AI in GI: Leveraging CADe to Improve Colonoscopy Performance and Accuracy
Manage episode 510409897 series 3693265
ReachMD에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 ReachMD 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Host: Peter Buch, MD, FACG, AGAF, FACP
Guest: Charles Kahi, MD
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.
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Guest: Charles Kahi, MD
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.
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