NCT07073430

Application Evaluation Research on the Artificial Intelligence-assisted Support System for the Diagnosis of Colorectal Tubular Adenoma Lesions

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 4,000 (estimated)
• Sponsor: Renmin Hospital of Wuhan University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This study is a prospective,multi-center and observational clinical study.Investigators would like to innovatively construct a "trinity" database of colorectal tubular adenomas based on white light - magnifying chromo - pathological images.It simulates the decision - making logic of doctors, and based on the multimodal endoscopic LAFEQ method previously proposed, develop a multimodal deep - learning diagnostic model for colon adenomas and an interpretable risk prediction model for intestinal adenomas. While achieving high - precision auxiliary treatment decisions, clearly present the decision - making basis, and break through the limitation of poor interpretability of previous medical imaging AI models.

Conditions

• Colorectal Adenoma
• Artificial Intelligence (AI)

Interventions

Type	Name	Description
DEVICE	AI models with NBI	AI models for detecting intestinal adenoma in magnifying endoscopy with NBI.

Timeline

• Start date: 2023-11-28
• Primary completion: 2026-10-31
• Completion: 2026-10-31
• First posted: 2025-07-18
• Last updated: 2026-03-25

Locations

1 site across 1 country: China