Gastroenterology and Artificial Intelligence: 4th Annual Global Artificial Intelligence Summit (On-Demand | August 2022-CADx Allows for Resect and Discard or Diagnose and Leave Behind

Video Transcription

Video Summary

In this video, titled "From Augmented Diagnosis to Autodocumentation," Dr. Cadman Leggett, a clinical gastroenterologist and assistant professor of medicine at Mayo Clinic, discusses the role of computer-aided diagnosis (CADx) in the detection and diagnosis of colorectal polyps. He highlights the need for real-time characterization of polyps, particularly diminutive ones, which account for 60% of all polyps encountered during colonoscopy. Currently, polypectomy and histologic assessment are required to determine the surveillance interval for these polyps, leading to procedural costs and delays. Dr. Leggett explains the ASGE-PV guidelines for polyp characterization and the challenges in implementing them. He then explores how CADx can address these challenges by providing a real-time assessment and classification of polyps as hyperplastic or adenomatous. CADx is expected to standardize practice, reduce costs, and improve adoption of PV strategies among gastroenterologists. However, there are still concerns about medical legal issues, lack of financial incentives, and the need for training and performance monitoring. Dr. Leggett concludes by discussing current studies on CADx systems and potential future directions. Overall, CADx shows promise in improving the efficiency and accuracy of polyp characterization during endoscopy.

Asset Subtitle

Cadman Leggett, MD

Keywords

Computer-aided Diagnosis

Colorectal Polyps

Real-time Characterization

ASGE-PV Guidelines

CADx Systems

Efficiency