Glaucomatous optic neuropathy (GON)
Conditions
Interventions
Fully automated AI group:Retinal imaging using OCT and AI-based image analysis
Semi-automated AI group:Clinicians will review the OCT images and printed-out AI reports for subjects
Control group:Retinal imaging using OCT and AI-based image analysis
Sponsors
Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong; Research Office, Health Bureau
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: 1. Subjects aged above 18 years; 2. Subjects referred by primary care settings due to glaucoma-related suspicious findings, such as increased cup-to-disc ratio, high intraocular pressure, and disc haemorrhage; 3. Subjects referred by primary care settings for regular eye check-ups; 4. Subjects with a family history of glaucoma; 5. Subjects with diabetes mellitus.
Exclusion criteria
Exclusion criteria: Subjects have already confirmed diagnosis of glaucoma by ophthalmologists.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Area under receiver operating characteristic curve (AUROC) value;Sensitivity, specificity, accuracy;Positive predictive value and negative predictive value; | — |
Secondary
| Measure | Time frame |
|---|---|
| The average time of imaging and generating reports in each arm;The average time of clinicians' interpretation in each arm;Misclassification analysis including reasons and corresponding numbers;Clinicians' acceptance of AI-platform assistance and a fully automated AI-platform;Safety outcomes; | — |
Countries
China
Contacts
Public ContactDr RAN Anran Emma
Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
Outcome results
None listed