Development and application of an artificial intelligence-assisted endoscopic system for automatic and accurate diagnosis of colorectal ulcers.

ABSTRACT:

Objectives

Crohn's disease (CD), ulcerative colitis (UC), intestinal Behçet's disease (BD), intestinal tuberculosis (ITB), and primary intestinal lymphoma (PIL) are major intestinal disorders that frequently present with mucosal ulceration. Accurate differentiation among these conditions is challenging due to overlapping clinical, endoscopic, and imaging characteristics. Accordingly, this study aimed to develop an artificial intelligence (AI)-assisted endoscopic diagnostic system to accurately identify these five diseases.

Methods

This multicenter prospective study used endoscopic images from patients diagnosed with pathologically confirmed CD, UC, BD, ITB, and PIL to develop an AI system that uses convolutional neural networks (CNNs) and transformer architectures. It was va

SUBMITTER: Yu Z 

PROVIDER: S-EPMC12672593 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature