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Not yet recruiting NCT07003165

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

Observational Ophthalmic Diseases (Specific Types Not Restricted) Cataract Refraction Error Diabetic Retinopathy (DR)

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Ophthalmic Diseases (Specific Types Not Restricted), Cataract, Refraction Error, Diabetic Retinopathy (DR). Basic parameters: from 7 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Center list to be confirmed — check the primary protocol.
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Overview

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.

Primary outcome measures

  • Cost-effectiveness [Time frame: Baseline,6months,12months]
Secondary outcome measures (3)
  • Eye disease detection rate [Time frame: Baseline,6months,12months]
  • Accuracy of multiple intelligent screening analysis models [Time frame: Baseline]
  • Screening participation rate [Time frame: baseline]

Eligibility criteria

Inclusion criteria

  • Age ≥ 7 years
  • Voluntary informed consent

Exclusion criteria

-Inability to complete the required examinations with the help of others due to old age, infirmity, poor general condition, etc.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Observational model
Ecologic or community

Study locations

Center list to be confirmed — check the primary protocol.

Identifiers

NCT: NCT07003165 · 2025KYPJ044

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗