Actively Recruiting

Age: 18Years +
All Genders
NCT07073430

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

Led by Renmin Hospital of Wuhan University · Updated on 2026-03-25

4000

Participants Needed

1

Research Sites

152 weeks

Total Duration

On this page

Sponsors

R

Renmin Hospital of Wuhan University

Lead Sponsor

B

Beijing Friendship Hospital, Captial Medical University

Collaborating Sponsor

AI-Summary

What this Trial Is About

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

Official Title

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

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients aged 218 years or older who need to undergo colonoscopy, regardless of gender
  • Voluntarily sign the informed consent form
  • Agree to follow the study procedures and cooperate throughout the research process
Not Eligible

You will not qualify if you...

  • History of abdominal or pelvic surgery or radiotherapy
  • Active lower gastrointestinal bleeding
  • Existing or suspected hereditary colorectal polyposis or inflammatory bowel disease
  • Uncontrolled hypertension with systolic > 160 mmHg or diastolic > 95 mmHg after treatment
  • History of stroke, coronary artery disease, or vascular disease
  • Pregnant
  • Unable to complete intestinal preparation

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

Renmin Hospital of Wuhan University

Wuhan, Hubei, China

Actively Recruiting

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Research Team

M

Mingkai Chen

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

2

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