Society: AGA

Over the past decade, big data and artificial intelligence (AI) have become standard concepts in digestive disease research, both as individual tools and applied together. Artificial intelligence algorithms and large datasets are now applied to everything from unraveling the pathophysiology of disease mechanisms in model systems to precisely selecting the most appropriate treatment courses for patients. Speakers in this session will provide examples where big data and artificial intelligence have successfully advanced science and patient care, where these tools have failed to live up to expectations, and provide perspective on overcoming obstacles to further developing the tools. The session will focus on three thematic areas where AI and big data impact GI: clinical databases and natural language processing, biological datasets, and imaging.

Parambir Dulai

Northwestern University Feinberg School of Medicine

Appearances