The Evolving Role of Artificial Intelligence in Gastrointestinal Histopathology: An Update.

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

Abstract

Significant advances in artificial intelligence (AI) over the past decade potentially may lead to dramatic effects on clinical practice. Digitized histology represents an area ripe for AI implementation. We describe several current needs within the world of gastrointestinal histopathology, and outline, using currently studied models, how AI potentially can address them. We also highlight pitfalls as AI makes inroads into clinical practice.

Authors

  • D Chamil Codipilly
    Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Shahriar Faghani
    Mayo Clinic Artificial Intelligence Lab, Department of Radiology, Mayo Clinic, 200 1st Street, S.W., Rochester, MN, 55905, USA.
  • Catherine Hagan
    Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Jason Lewis
    Department of Pathology, Mayo Clinic, Jacksonville, Florida, USA.
  • Bradley J Erickson
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Prasad G Iyer
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.