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Research on a New Intelligent Mobile Screening and Diagnosis Pattern for Ocular Diseases

NCT07003165 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 15000

Last updated 2025-06-04

No results posted yet for this study

Summary

The global distribution of primary ophthalmic medical resources is uneven, and the traditional eye disease screening model has problems such as low efficiency, high cost and limited coverage. With the development of artificial intelligence and other technologies, it provides technical support for the construction of intelligent mobile screening model for eye diseases. The investigator's team has developed the 5G intelligent ophthalmic vehicle and served tens of thousands of people in 108 cities nationwide, initially verifying the feasibility of the new intelligent mobile screening model. However, the application effect, acceptance and influencing factors of this model in different regions are not clear, and there is a lack of economic benefit analysis based on real-world data. In this study, the investigators will conduct a cross-sectional study of large-scale population screening for blinding eye diseases in grassroots areas through the smart mobile screening model, focusing on the screening effectiveness and cost-effectiveness of the smart mobile screening model, integrating real-world multimodal eye health data, developing multiple smart screening analysis models, and exploring its adaptability and direction of improvement in grassroots areas.

Conditions

  • Ophthalmic Diseases (Specific Types Not Restricted)
  • Cataract
  • Refraction Error
  • Diabetic Retinopathy (DR)
  • Age Related Macular Degeneration (ARMD)

Sponsors & Collaborators

  • Zhongshan Ophthalmic Center, Sun Yat-sen University

    lead OTHER

Eligibility

Min Age
7 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-31
Primary Completion
2029-05-31
Completion
2029-05-31

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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 NCT07003165 on ClinicalTrials.gov