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Effect of the Automatic Surveillance System on Surveillance Rate of Patients with Gastric Premalignant Lesions

NCT06039917 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1460

Last updated 2024-11-04

No results posted yet for this study

Summary

In this study, we proposed a prospective study about the effect of the automatic surveillance system on surveillance rate of patients with gastric premalignant lesions. The enrolled patients were divided into group A with intelligent surveillance system, group B with manual reminder, and group C with natural state. The surveillance among the three groups will be compared.

Conditions

  • Artificial Intelligence
  • Surveillance

Interventions

OTHER

AI based automatic surveillance (AS) system (ENDOANGEL-AS)

An automatic surveillance (AS) system accurately identify patients with gastric premalignant lesions, assign surveillance intervals for different risks of patients and proactively follow up with patients at certain times.

OTHER

Manually remind the patients

Medical staff remind patients to review manually.

Sponsors & Collaborators

  • Shanghai Pudong Hospital

    collaborator OTHER

  • The Eighth Hospital of Wuhan

    collaborator UNKNOWN

  • Jinjiang Municipal Hospital, Shanghai Sixth People's Hospital Fujian Campus

    collaborator UNKNOWN

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Honggang Yu, PhD · Renmin Hospital of Wuhan University

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-10
Primary Completion
2028-12-31
Completion
2029-12-31

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 NCT06039917 on ClinicalTrials.gov