Artificial Intelligence for Inflammatory Bowel Diseases (IBD); Accurately Predicting Adverse Outcomes Using Machine Learning.

Journal: Digestive diseases and sciences
Published Date: Apr 27, 2022

Abstract

BACKGROUND: Inflammatory Bowel Diseases with its complexity and heterogeneity could benefit from the increased application of Artificial Intelligence in clinical management.

Authors

  • Aria Zand
    UCLA Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Disease, David Geffen School of Medicine, University of California at Los Angeles, 10945 Le Conte Ave #2338, Los Angeles, CA, 90095, USA. azand89@gmail.com.
  • Zack Stokes
    UCLA Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Disease, David Geffen School of Medicine, University of California at Los Angeles, 10945 Le Conte Ave #2338, Los Angeles, CA, 90095, USA.
  • Arjun Sharma
    Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Welmoed K van Deen
    Cedars-Sinai Center for Outcomes Research and Education, Cedars-Sinai Medical Center, Division of Health Services Research, Los Angeles, CA, USA.
  • Daniel Hommes
    UCLA Center for Inflammatory Bowel Diseases, Vatche and Tamar Manoukian Division of Digestive Disease, David Geffen School of Medicine, University of California at Los Angeles, 10945 Le Conte Ave #2338, Los Angeles, CA, 90095, USA.

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