ASGE International Sampler (On-Demand)-Clinical Evaluation of ML Algorithms in Gastroenterology

Clinical Evaluation of ML Algorithms in Gastroenterology

Video Transcription

Video Summary

The video transcript discusses the clinical evaluation of machine learning algorithms in gastroenterology, focusing on computer-aided polyp detection and diagnosis. The speaker highlights the need for evidence to support the adoption of these tools and discusses potential benefits and considerations. The field of gastroenterology leads in evaluating AI tools, particularly in polyp detection. Studies show improvements in adenoma detection, especially for small adenomas. Challenges remain in detecting larger polyps, particularly sessile polyps in the right colon. The transcript also touches on future applications of AI in endoscopy and the importance of physicians working with AI tools to enhance patient care.

Asset Subtitle

Tyler Berzin MD, MS, FASGE

Meta Tag

Concept Computer-Aided Polyp Detection

Concept Adenoma Detection Rate

Concept Randomized Controlled Trial

Concept Diminutive Colorectal Polyp

Concept Sessile Serrated Polyp

Keywords

machine learning

gastroenterology

polyp detection

AI tools

endoscopy

Computer-Aided Polyp Detection

Adenoma Detection Rate

Randomized Controlled Trial

Diminutive Colorectal Polyp

Sessile Serrated Polyp