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Application Evaluation Research on the Artificial Intelligence-assisted Support System for the Diagnosis of Colorectal Tubular Adenoma Lesions
Sponsor: Renmin Hospital of Wuhan University
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
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