CGH: INTELCAPE for automated, high-accuracy Crohn's disease diagnosis via capsule endoscopy

Mar 19, 2026 · 1 min read
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Our team published INTELCAPE in Clinical Gastroenterology and Hepatology, an AI system for automated capsule endoscopy analysis that supports faster and more accurate Crohn’s disease diagnosis.

INTELCAPE combines small-intestine segmentation, lesion detection, and video-level diagnosis in one pipeline. Across multi-center capsule endoscopy cohorts, it achieved specialist-level diagnostic performance while markedly reducing review time and improving clinician performance with AI assistance.

Key points:

  • Built and evaluated on 872 capsule endoscopy videos from two Chinese hospitals.
  • Reached AUCs of 0.982 and 0.984 for Crohn’s disease diagnosis, with 90% diagnostic accuracy.
  • Improved clinicians’ accuracy from 76.7% to 94.8% and cut interpretation time from 67.9 to 22.5 minutes.

Paper: INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn’s Disease Diagnosis via Capsule Endoscopy