A Novel Switching of Artificial Intelligence to Generate Simultaneously Multimodal Images to Assess Inflammation and Predict Outcomes in Ulcerative Colitis-(With Video).
Journal:
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Published Date:
Jun 16, 2025
Abstract
OBJECTIVES: Virtual Chromoendoscopy (VCE) is pivotal for assessing activity and predicting outcomes in Ulcerative Colitis (UC), though interobserver variability and the need for expertise persist. Artificial intelligence (AI) offers standardized VCE-based assessment. This study introduces a novel AI model to detect and simultaneously generate various endoscopic modalities, enhancing AI-driven inflammation assessment and outcome prediction in UC.
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