Performance of GPT-5 in the Interpretation of IBD Histopathology Reports.

ABSTRACT:

Background

Histopathological interpretation is crucial for diagnosing inflammatory bowel disease (IBD), distinguishing between Crohn's Disease (CD), Ulcerative Colitis (UC), IBD-Unclassified (IBD-U), and Non-IBD colitis (NIBDC). However, interobserver variability and limited expertise can reduce diagnostic accuracy. Large Language Models (LLMs) such as GPT-5 may offer clinical support in interpreting histology reports.

Methods

We analyzed 100 real-life histological reports from ileo-colonoscopies, equally representing CD, UC, IBD-U, and NIBDC, collected across five Italian healthcare centers, including both IBD-specialized and non-specialized hospitals. A reference standard was established by an expert pathologist. Independent classifications were generated by GPT-5, five ga

SUBMITTER: Maida M 

PROVIDER: S-EPMC12803013 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature