Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review.

Journal: Journal of pediatric gastroenterology and nutrition
Published Date: Jan 1, 2020

Abstract

Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth in its application to healthcare and beyond, and is now an integral part of daily life. Uses of AI in gastroenterology include the automated detection of disease and differentiation of pathology subtypes and disease severity. Although a majority of AI research in gastroenterology focuses on adult applications, there are a number of pediatric pathologies that could benefit from more research. As new and improved diagnostic tools become available and more information is retrieved from them, AI could provide physicians a method to distill enormous amounts of data into enhanced decision-making and cost saving for children with digestive disorders. This review provides a broad overview of AI and examples of its possible applications in pediatric gastroenterology.

Authors

  • Vatsal Patel
    School of Medicine.
  • Marium N Khan
    Division of Pediatric Gastroenterology and Hepatology, Department of Pediatrics, University of Virginia, Charlottesville.
  • Aman Shrivastava
    Data Science Institute, University of Virginia, Charlottesville, VA.
  • Kamran Sadiq
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • S Asad Ali
    Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Sean R Moore
    Division of Pediatric Gastroenterology and Hepatology, Department of Pediatrics, University of Virginia, Charlottesville.
  • Donald E Brown
    School of Data Science, University of Virginia, Charlottesville, VA.
  • Sana Syed
    School of Medicine, University of Virginia, Charlottesville, VA.

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