From Black Box to Glass Box: A Guide to Evaluating AI Polyp Detection Solutions
Thursday, April 17th, 2025 | 3:00 PM - 4:00 PM CT
With colorectal cancer rates on the rise in younger patients and colonoscopy quality standards becoming more rigorous, the need for consistently high-quality procedures has never been greater. While multiple FDA-cleared AI tools are available to enhance colonoscopy, selecting the right technology and ensuring it drives value for patients, physicians, and practice growth is easier said than done.
This session demystifies AI in polyp detection — giving leaders a transparent, evidence-based framework for evaluating AI tools. Learn what’s behind the technology, how to assess its accuracy and efficiency, and what truly matters when selecting an AI tool for your practice.
Insights include:
This session demystifies AI in polyp detection — giving leaders a transparent, evidence-based framework for evaluating AI tools. Learn what’s behind the technology, how to assess its accuracy and efficiency, and what truly matters when selecting an AI tool for your practice.
Insights include:
- Key evaluation criteria, including patient, physician and financial impact
- Evidence-based insights from successful implementations
- What it takes to develop AI — and why some models outperform others in real-world practice
Moderator:
Aasma Shaukat, MD, MPH
Robert M. and Mary H. Glickman Professor of Medicine and Director of GI Outcomes Research at NYU School of Medicine
Panelists:
Stuart Akerman, MD
Medical Director, Digestive Health Center of Plano
Richard Kuritzkes, MD
President of UNIO Health Partners GI Division
David Hass, MD
Associate Clinical Professor of Medicine at Yale University School of Medicine; Medical Director at PACT Gastroenterology Center, Hamden CT