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RECRUITING
NCT07073430

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

Sponsor: Renmin Hospital of Wuhan University

View on ClinicalTrials.gov

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.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

4000

Start Date

2023-11-28

Completion Date

2026-10-31

Last Updated

2026-03-25

Healthy Volunteers

No

Interventions

DEVICE

AI models with NBI

AI models for detecting intestinal adenoma in magnifying endoscopy with NBI.

Locations (1)

Renmin Hospital of Wuhan University

Wuhan, Hubei, China