Gastroenterology and Artificial Intelligence: 3rd Annual Artificial Intelligence Summit (On-Demand) | September 2021-Utilizing AI and ML in IBD Diagnosis and Prognostication

Utilizing AI and ML in IBD Diagnosis and Prognostication

Video Transcription

Video Summary

In this video, Dr. Rubin discusses the application of artificial intelligence (AI) and machine learning (ML) in the field of inflammatory bowel disease (IBD). He highlights the challenges in IBD management, such as delays in diagnosis and therapy selection due to a lack of predictive biomarkers. Dr. Rubin emphasizes the potential of AI and ML in improving diagnosis, prognosis, therapy selection, and disease monitoring in IBD. He presents various examples, including a model for predicting individualized risk of Crohn's disease complications and the use of AI in endoscopic assessments and histological healing indices. Dr. Rubin also mentions the potential of AI in capsule endoscopy and using biosensors to predict disease activation. While these developments are promising, he notes that they are not yet standard practice and encourages staying tuned to this exciting field.

Asset Subtitle

David Rubin, MD, FASGE

Keywords

artificial intelligence

machine learning

inflammatory bowel disease

diagnosis

therapy selection