Michael B. Wallace: AI-Assisted Polyp Detection Improves Adenoma Detection in Multicenter RCT

Michael B. Wallace: AI-Assisted Polyp Detection Improves Adenoma Detection in Multicenter RCT

Michael B. Wallace, Professor of Medicine at Mayo Clinic, Founding Member of Artificial Intelligence Institute for Gastroenterology, Member Board of Directors at GIQUIC, shared a post on LinkedIn:

“The favorable data on AI/computer aided detection (CADe) for colorectal polyps continues to expand. In this multicenter randomized controlled trial (RCT), a novel CADe system developed by Google Verily Health confirms prior RCTs showing improved number of adenomas detected (adenomas per colonoscopy) in both private and academic practice setting. Adenoma detection rate (ADR) was numerically, although not significantly better with CADe. The article is available open access.

Thanks to Drs. Cadman Leggett, and Scooter Plowman for leading this important study.”

Title: Computer-aided polyp detection multicenter international randomized controlled study with a focus on community clinics: Geriatric Assessment-Driven Intervention clinical trial

Authors: Cadman L. Leggett, R. Scooter Plowman, Lindsey Surace, Emmanuel Gorospe, Jesse Lachter, Dana Ben-Ami Shor, Keith Friedenberg, David A. Leiman, Simon Schlachter, Anil Patwardhan, Roman Goldenberg, Ehud Rivlin, Leera Choi, Nayantara Coelho-Prabhu, Tonya Kaltenbach, Michael Wallace

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Michael B. Wallace: AI-Assisted Polyp Detection Improves Adenoma Detection in Multicenter RCT