This live webinar provides colorectal surgeons with a foundational understanding of the AI and machine learning technologies increasingly encountered in surgical practice. The session systematically introduces key AI architectures—deep neural networks, convolutional neural networks, transformers, and vision transformers—grounding each concept in the practical application of colonoscopy polyp detection. The final segment reviews the clinical evidence for AI-assisted polyp detection systems. Through a moderated discussion format, attendees will build the conceptual framework needed to critically evaluate AI tools across all areas of colorectal surgery.
Panelists: Ankit Sarin, MD, MPH and Samuel Eisenstein, MD
Credit Hours Available: 1 AMA PRA Category 1 Credit(s)™
Release Date: September 18, 2026
CME Expires: September 18, 2029
There's more to see -- the rest of this topic is available only to subscribers.