Application Evaluation Research on the Artificial Intelligence-assisted Support System for the Diagnosis of Colorectal Tubular Adenoma Lesions
NCT07073430 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000
Last updated 2026-03-25
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
- DEVICE
-
AI models with NBI
AI models for detecting intestinal adenoma in magnifying endoscopy with NBI.
Sponsors & Collaborators
-
Beijing Friendship Hospital, Captial Medical University
collaborator UNKNOWN -
Air Force Military Medical University, China
collaborator OTHER -
The Sixth Affiliated Hospital, Sun Yat-sen University
collaborator UNKNOWN -
Army Medical University, China
collaborator OTHER -
Guizhou Provincial People's Hospital
collaborator OTHER -
Shengjing Hospital
collaborator OTHER -
The Second Medical Center, Chinese PLA General Hospital
collaborator UNKNOWN -
Zhejiang University
collaborator OTHER -
Shandong University
collaborator OTHER -
Renmin Hospital of Wuhan University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-11-28
- Primary Completion
- 2026-10-31
- Completion
- 2026-10-31
Countries
- China
Study Locations
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