Glaucoma
Conditions
Brief summary
To screen for the presence of glaucoma in a Belgian population over 40 years old using an AI algorithm developed for the detection of glaucoma based on fundus pictures.
Detailed description
In this study, we aim to detect individuals with glaucoma and refer them for further evaluation and treatment when necessary. In so doing, we want to get an estimation of the prevalence of glaucoma in the Belgian population of 40+ years. A fundus picture will be acquired without pupil dilation. This examination will be followed by an intra-ocular pressure measurement. The results will be discussed with the participating subject by the present physician. For each subject, both eyes will be evaluated. In case of suspected glaucoma, the subject will be referred to an ophthalmologist for further evaluation.
Interventions
DEVICEAI algorithm for the detection of glaucoma
The investigational device that will be used during this study is an AI algorithm embedded into an API for the detection of glaucoma developed by MONA.health
Sponsors
Santen Oy
Universitaire Ziekenhuizen KU Leuven
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
40 Years to 100 Years
Healthy volunteers
Yes
Inclusion criteria
* Aged 40 years or above
Exclusion criteria
* Aged under 40 years * Insufficient knowledge of Dutch, French or English required to complete the imaging protocol and questionnaire * Physical or mental inability to participate
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Prevalence of glaucoma in Belgium | 4 months | To study the prevalence of glaucoma in the Belgian population over 40 years old |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Validation of AI algorithm | 7 months | To validate an existing AI-based algorithm for automatic detection of glaucoma |
Countries
Belgium
Outcome results
None listed