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AI in GI: Leveraging CADe to Improve Colonoscopy Performance and Accuracy
Manage episode 510409897 series 3693265
A tartalmat a ReachMD biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a ReachMD vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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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