blinding eye diseases and systemic diseases
Conditions
Interventions
Gold Standard:Blinding eye diseases diagnosed based on color fundus photography (CFP), and systemic diseases diagnosed through blood pressure measurement, blood tests, computed tomography (CT), or mag
Index test:The color fundus photograph is automatically analyzed by an artificial intelligence algorithm model, outputting detection results for blinding eye diseases and systemic diseases.
Sponsors
Chinese University of Hong Kong
Eligibility
Sex/Gender
All
Age
50 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Age 50 years or older. 2. Willingness to undergo ophthalmic imaging (e.g., fundus photography, OCT scans). 3. Ability to provide informed consent.
Exclusion criteria
Exclusion criteria: 1. Severe ocular comorbidities that may interfere with image acquisition or interpretation. 2. Inability to provide informed consent due to cognitive impairment or other reasons.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy, sensitivity, and specificity of the AI platform in detecting blinding eye diseases (e.g., glaucoma, diabetic retinopathy) and systemic diseases (e.g., Alzheimer's disease, cardiovascular diseases) compared to gold-standard clinical diagnoses.; | — |
Secondary
| Measure | Time frame |
|---|---|
| The generalizability of the AI platform for the detection of blinding eye diseases and systemic diseases across diverse imaging devices and clinical environments.; The effectiveness of the AI platform on clinical decision-making, including the rate of early detection and intervention for blinding eye diseases and systemic diseases.; The cost-effectiveness of the AI platform in reducing healthcare resource utilization and improving patient outcomes.; | — |
Countries
China
Contacts
Public ContactZhang Yanlei
Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong
Outcome results
None listed