NCT05336773

Ulcerative Colitis Mayo Score With Artificial Intelligence

Research on Artificial Intelligence-based Mayo Score Recognition System for Disease Activity Degree of Ulcerative Colitis Under Digestive Endoscopy

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 500 (estimated)
• Sponsor: Third Military Medical University · Academic / Other
• Sex: All
• Age: 18 Years – 72 Years
• Healthy volunteers: Accepted

Summary

This project will use deep learning to classify colonoscopy images of different severity of ulcerative colitis, so as to assist clinicians in the accurate diagnosis of ulcerative colitis.

Detailed description

In this project, artificial intelligence was used to colonoscopic images of patients with ulcerative colitis with different disease activity levels and classify them according to the evaluation standard Mayo score to assist endoscopists in identifying disease activity levels of patients with ulcerative colitis during colonoscopy. It can help clinical endoscopists to accurately identify, and the visualization technology of artificial intelligence category response map can comprehensively display the areas with high importance for deep network classification results, and visualize the experimental lesion sites, thus effectively verifying the reliability and interpretability of deep network. This study can provide strong support for accurate identification of disease activity in clinical ulcerative colitis, effectively reduce the workload of clinicians, and provide a convenient, effective and practical clinical teaching tool.

Conditions

• Ulcerative Colitis
• Colonoscopy
• Deep Learning

Timeline

• Start date: 2022-04-01
• Primary completion: 2022-12-01
• Completion: 2023-06-01
• First posted: 2022-04-20
• Last updated: 2022-04-20

Locations

1 site across 1 country: China