Gastroenterology and Artificial Intelligence: 2nd Annual Artificial Intelligence Summit | October 2020-Real-time Detection and Characterization of Colon Polyps with Videos

Real-time Detection and Characterization of Colon Polyps with Videos

Video Transcription

Video Summary

In this video, Dr. Mori, an associate professor at Showa University in Yokohama, Japan, discusses the implementation of artificial intelligence (AI) in colonoscopy. He presents a roadmap for the five phases of AI implementation: product development, feasibility study, clinical trials, regulatory approval, and reimbursement. Dr. Mori highlights the roles of AI in automatic polyp detection (CDE) and automatic polyp characterization (CDX). He discusses the current evidence and studies conducted in these areas, emphasizing the need for more robust research and larger sample sizes. Dr. Mori also addresses the regulatory approval process, challenges in comparing device performance, and the importance of cost-effectiveness in obtaining reimbursement from public health insurance bodies. He concludes by sharing his take-home messages on the current state and future challenges in AI-assisted colonoscopy.

Asset Subtitle

Yuichi Mori, MD, PhD

Keywords

artificial intelligence

colonoscopy

implementation

automatic polyp detection

automatic polyp characterization