Artificial Intelligence Methods for the Differential Diagnosis of Irritable Bowel Syndrome and Inflammatory Bowel Disease: A Systematic Review
Although AI/ML methods show significant potential for distinguishing IBS from IBD, existing studies present limitations, including small sample sizes, data heterogeneity, and generalizability challenges. The development of standardized protocols and extensive multicenter studies is recommended to clinically validate these models, facilitating their integration into current medical practice.
Authors
- Cristina Cijevschi Prelipcean (ORCID: https://orcid.org/0000-0003-4589-5584)
- Mihaela Dranga (ORCID: https://orcid.org/0000-0001-7750-6278)
- Drug Vasile
- Iolanda Valentina Popa (ORCID: https://orcid.org/0000-0002-0597-8839)
- Otilia Nedelciuc
- Cătălina Mihai
Institutions
- Grigore T. Popa University of Medicine and Pharmacy (RO)
- Spitalul Clinic Judeţean de Urgenţe "Sf. Spiridon" Iaşi (RO)
Publication Details
- Journal
- Journal of Gastrointestinal and Liver Diseases
- Published
- 2025-12-26
- DOI
- https://doi.org/10.15403/jgld-6332
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00