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

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.

NCT Number	NCT07073430
Lead Sponsor	Renmin Hospital of Wuhan University Collaborators: Beijing Friendship Hospital, Captial Medical University, Air Force Military Medical University, China, Sixth Affiliated Hospital, Sun Yat-sen University, Army Medical University, China, Guizhou Provincial People's Hospital, Shengjing Hospital, The Second Medical Center, Chinese PLA General Hospital, Zhejiang University, Shandong University
Conditions	Colorectal Adenoma, Artificial Intelligence (AI)
Enrollment	4,000 participants
Start Date	2023-11-28
Primary Completion	2026-10-31 (estimated)
Study Completion	2026-10-31 (estimated)
Updated on ClinicalTrials.gov	2026-03-25