AI algorithm for the detection of glaucoma
DeviceThe 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
NCT Number: NCT05703724
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.
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Notify Me40 year–100 year
All sexes
Interventional
Not applicable
UZA, Edegem, Antwerpen, Belgium
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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
Time frame: 4 months
To study the prevalence of glaucoma in the Belgian population over 40 years old
Time frame: 7 months
To validate an existing AI-based algorithm for automatic detection of glaucoma
Universitaire Ziekenhuizen KU Leuven
Other
Acronym: BelGlaucoma
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