Eye diseases related to retina and optic nerve head (e.g., DME, glaucoma, and other retinal abnormalities)
Conditions
Interventions
Gold Standard:- Screening programmes for diabetic eye disease using 2-dimensional non-stereoscopic digital fundus photography
- Glaucoma screening and AMD screening are largely conducted through oppor
Index test:The current project aims to assess the performance of the AI-assisted system prospectively for automatically assessing image quality, identifying eye diseases related to retina and optic n
Sponsors
Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Subjects presenting to the Triage Unit of the Hong Kong Eye Hospital and/or referred from screening programs, primary care settings, district health centres (DHCs) or non-governmental organizations (NGOs) (e.g. Retina Hong Kong), with one or more of the following conditions: 1) With complaints about perceptible visual impairment or self-reported alternations in their vision test (e.g., Amsler grid); 2) Informed with abnormal test results from community-based screening programs, primary care settings, DHCs or NGOs; 3) With a family history of glaucoma; or with glaucoma-related suspicious findings (e.g. increased cup to disc ratio, increased intraocular pressure, disc hemorrhage, and retinal nerve fibre layer thinning); 4) With a family history or diagnosed with diabetes mellites; or with any diabetic eye diseases (e.g. diabetic macular edema, diabetic retinopathy); 5) With any retinal abnormalities (e.g., age-related macular degeneration, epiretinal membrane, macular hole).
Exclusion criteria
Exclusion criteria: Subjects who have difficulty receiving OCT examinations
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The accuracy of the AI-assisted system for image quality assessment, eye disease detection and triage/referral suggestion.; | — |
Secondary
| Measure | Time frame |
|---|---|
| The accuracy of the upgraded AI-assisted system for image quality assessment and eye disease detection; | — |
Countries
Hong Kong
Contacts
Public ContactDr Cheung Yim Lui Carol / Prof Tham Chee Yung Clement
Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong
Outcome results
None listed