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Artificial Intelligence-Based Classification and Prognostic Prediction in Small Bowel Crohn's Disease

NCT07757217 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 437

Last updated 2026-08-11

No results posted yet for this study

Summary

This retrospective observational study aims to develop an artificial intelligence-based system for the precise classification and prognostic prediction of small bowel Crohn's disease. The study includes 437 patients with Crohn's disease who were hospitalized at Shanghai Tenth People's Hospital between January 1, 2020, and January 31, 2025.

Clinical information, laboratory results, endoscopic findings, computed tomography enterography or magnetic resonance enterography images, and available pathological and molecular data will be collected from existing medical records. Artificial intelligence-based image segmentation and multimodal analysis will be used to identify and quantify intestinal lesions, strictures, mesenteric changes, fistulas, abscesses, and other disease characteristics. The study will examine whether these features can classify patients more accurately and predict clinical outcomes, including response to medical treatment, treatment failure or switching, and the need for surgery. The resulting system may support individualized assessment and clinical decision-making for patients with small bowel Crohn's disease.

Conditions

Interventions

OTHER

Artificial Intelligence-Based Multimodal Analysis

Existing CTE or MRE images will be analyzed using interactive artificial intelligence-based image segmentation. Imaging features will be integrated with available clinical, laboratory, endoscopic, pathological, and molecular data to classify small bowel Crohn's disease and predict subsequent clinical outcomes. This retrospective observational study does not assign any treatment or alter routine clinical care.

Sponsors & Collaborators

  • Shanghai 10th People's Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2025-10-31
Completion
2026-04-30

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07757217 on ClinicalTrials.gov