Author:
Sood Neil,Chirayath Subin,Bahirwani Janak,Patel Het,Kim Emilie,Reddy-Patel Naomi,Lin Hanxiong,Martins Noel
Abstract
Gastroenterology (GI) and hepatology are in the early stages of incorporation of artificial intelligence (AI) into clinical practice. The two major areas of AI deep learning technology which can be considered applicable to GI and hepatology are image recognition analysis and clinical data analysis. Additional areas of AI such as generative AI also may have roles in clinical practice. Continued development, validation, and real-world modeling of AI systems will be needed prior to wider integration. Based on the trajectory and rapid developments within AI, it is likely that in the coming years new areas of AI applications in GI and hepatology will be proposed and current AI applications will be enhanced and become standard of care.