Gastroenterology and Artificial Intelligence: 3rd Annual Artificial Intelligence Summit (On-Demand) | September 2021-Opportunity to Redefine Quality Metrics in Endoscopy Using AI

Video Transcription

Video Summary

In this video, the moderators introduce the session on using AI in daily medical practice. The first speaker is Dr. Sarvanti Parisa, a gastroenterologist at the Swedish Medical Center with expertise in AI. Dr. Parisa discusses the importance of quality metrics in healthcare and the current challenges in measuring quality in endoscopy. She explains that quality measures are typically classified into structural, process, and outcome measures. Feasibility and data burden are major pain points in measuring quality, as it requires significant time and resources. Dr. Parisa highlights how AI can automate the calculation of quality metrics and provides examples of recent developments in gastroenterology. These include an AI-based automatic quality assist program for colonoscopy, an algorithm for calculating the percentage of mucosa observed, an automated bowel preparation score, and a software that automatically takes pictures in upper GI endoscopy. She concludes by emphasizing that AI can standardize quality metrics, remove subjectivity, and improve outcomes in endoscopy.

Asset Subtitle

Sravanthi Parasa, MD

Keywords

AI in daily medical practice

quality metrics in healthcare

measuring quality in endoscopy

automating quality metrics with AI

improving outcomes in endoscopy