How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease.

Journal: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
Published Date:

Abstract

Artificial intelligence (AI) refers to computer-based methodologies that use data to teach a computer to solve pre-defined tasks; these methods can be applied to identify patterns in large multi-modal data sources. AI applications in inflammatory bowel disease (IBD) includes predicting response to therapy, disease activity scoring of endoscopy, drug discovery, and identifying bowel damage in images. As a complex disease with entangled relationships between genomics, metabolomics, microbiome, and the environment, IBD stands to benefit greatly from methodologies that can handle this complexity. We describe current applications, critical challenges, and propose future directions of AI in IBD.

Authors

  • Anna L Silverman
    Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA.
  • Dennis Shung
    Yale School of Medicine Section of Digestive Diseases, P.O. Box 208019, New Haven, CT, 06520-8019, USA. dennis.shung@yale.edu.
  • Ryan W Stidham
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Gursimran S Kochhar
    Division of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania, USA.
  • Marietta Iacucci
    National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.