Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review

Vatsal Patel, Marium N. Khan, Aman Shrivastava, Kamran Sadiq, S. Asad Ali, Sean R. Moore, Donald E. Brown, Sana Syed

Research output: Contribution to journalReview articlepeer-review

18 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)4-11
Number of pages8
JournalJournal of Pediatric Gastroenterology and Nutrition
Issue number1
Publication statusPublished - 1 Jan 2020


  • artificial intelligence
  • diagnostic efficiency
  • gastrointestinal diagnostics
  • machine learning


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