Machine learning in the differential diagnosis of ulcerative colitis and Crohn's disease: a systematic review.

ABSTRACT:

Background

Inflammatory bowel disease (IBD) is a complex chronic disease of the gastrointestinal tract. This systematic review aimed at highlighting the latest findings on the use of machine learning (ML) in the IBD subtypes, ulcerative colitis and Crohn's disease (CD), with a view to obtaining a basis for the clinical application of ML to differentiate between these subtypes.

Methods

We conducted an extensive search of six major databases, including PubMed, Web of Science, Embase, Cochrane Library, Scopus, and Ovid, for entries made between 1 January 2000 and 28 November 2024. The search was focused on identifying studies that used ML to construct diagnostic models for ulcerative colitis and CD. Quality Assessment of Diagnostic Accuracy Studies was used to assess the risk o

SUBMITTER: Huang J 

PROVIDER: S-EPMC12314689 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature