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

Sun Yat-sen University

Status: Not yet enrolling

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

Study type: Observational

Funder types: Other

Identifiers

NCT07003165

2025KYPJ044

Details and patient eligibility

About

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.

Enrollment: 15,000 estimated patients

Sex: All

Ages: 7+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

15,000 participants in 1 patient group

Intelligent Mobile Group

Description:

Participants were first screened for mobile eye health risk classification, and those who met the requirements were further screened by eye examination on the mobile clinic and suspected cases were recommended to be referred to higher level hospitals for consultation, and corresponding data were collected at different visit points.