Artificial intelligence-based multimodal model for the identification of ulcerative colitis with concomitant cytomegalovirus colitis.

ABSTRACT:

Background

Ulcerative colitis (UC), a chronic immune-mediated colon inflammation, impacts patients' quality of life. Immunosuppressive-treated UC patients are prone to opportunistic infections like cytomegalovirus (CMV) infection, which exacerbates UC, causes steroid resistance, and elevates surgery and mortality risks. Identifying CMV colitis from UC exacerbation is difficult due to overlapping symptoms and low biopsy detection rates.

Objectives

To develop an artificial intelligence (AI)-based multimodal model for early identification of UC with concomitant CMV colitis.

Design

This was a retrospective diagnostic study.

Methods

A total of 174 moderate to severe UC patients (87 with CMV colitis) from 2015 to 2023 in Peking Union Medical College Hospital were enr

SUBMITTER: Liang H 

PROVIDER: S-EPMC12357019 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature