ASGE Masterclass: Artificial Intelligence 101 (On-demand) | May 2024-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 Lower Endoscopy

Concept Computer-Aided Polyp Diagnosis

Concept Randomized Controlled Trial

Keywords

machine learning algorithms

gastroenterology

computer-aided polyp detection

adenoma detection

AI in endoscopy

Computer-Aided Polyp Detection

Adenoma Detection Rate

Lower Endoscopy

Computer-Aided Polyp Diagnosis

Randomized Controlled Trial