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

No results posted yet for this study

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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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07073430 on ClinicalTrials.gov