ASGE Annual Postgraduate Course: Clinical Challenges and Real-Time Decision Making in GI Endoscopy (Live and Virtual) | May 2023-CADx Allows for Resect and Discard or Diagnose and Leave Behind

Video Transcription

Video Summary

The video titled "From Augmented Diagnosis to Autodocumentation" features Dr. Cadman Leggett, a clinical gastroenterologist and assistant professor of medicine at Mayo Clinic, who discusses computer-aided diagnosis (CADx) in the context of polyp characterization during colonoscopy. Dr. Leggett explains the need for real-time characterization of diminutive polyps, as current histopathology assessment is costly and time-consuming. He highlights the American Society for Gastrointestinal Endoscopy's guidelines for polyp characterization, which aim to reduce costs and unnecessary polypectomies. CADx systems provide a real-time assessment of polyp histology and can help determine whether resection or surveillance intervals are required. Dr. Leggett discusses the barriers to CADx implementation, including medical-legal concerns, lack of standardized training, and skepticism from patients. He also presents the potential benefits of CADx, such as standardizing practice, reducing costs, and improving diagnostic accuracy. However, he emphasizes the importance of training and cautions against substituting AI for endoscopic skills. The video concludes with a discussion on the future of CADx and the need for further research on patient perspectives and medical-legal concerns. No credits were granted in the video.

Asset Subtitle

Cadman Leggett, MD

Keywords

Augmented Diagnosis

Autodocumentation

Computer-aided Diagnosis

Polyp Characterization

CADx Systems

Colonoscopy