Clinical AI tools often stall between promising retrospective results and routine use. Join Dr. Ashwin Rao as he discusses Scope-Pilot, a large language model-based decision-support tool for colonoscopy surveillance intervals, and its progression through successive stages of evidence development and implementation.

Dr. Rao will highlight retrospective validation using independent gold-standard datasets, a think-aloud study with practicing endoscopists to evaluate feasibility, acceptability and display design, and FHIR-based integration into Epic test environments at Baylor College of Medicine and UTHealth Houston.

The presentation also will outline a planned pragmatic evaluation examining effectiveness, implementation and human-AI discordance. Throughout the session, Dr. Rao will share practical lessons and decision-making strategies that can be applied to other clinical AI projects.

Speaker Bio
Ashwin Rao, M.D., is an assistant professor of medicine in the Section of Gastroenterology and Hepatology at Baylor College of Medicine. His work in clinical informatics and artificial intelligence spans phenotyping, decision support, human-AI interaction and AI safety, including the measurement and communication of uncertainty.