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Glaucoma Algorithm Validation Study in African Population - the MAGIC Study
Sponsor: Centro Hospitalar Universitário Lisboa Norte
Summary
Artificial Intelligence (AI) algorithms require validation in a variety of populations to ensure widespread clinical applicability. In Ophthalmology, AI algorithms are reaching maturity in diagnosis such as diabetic retinopathy and glaucoma. Higher-at-risk subjects of African descent are nevertheless usually under-represented in training datasets and therefore unclear about representativity. A small scale validation study in consecutive patients in a large Eyesore unit in Mozambique will be performed to determine the diagnostic ability of these AI softwares in this population
Official title: Validation Study of an Artificial Algorithm for Glaucoma Detection in an African Population
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
100
Start Date
2024-08-14
Completion Date
2024-08-31
Last Updated
2024-08-13
Healthy Volunteers
Yes
Conditions
Interventions
Fundus Picture AI testing
G-Risk AI algorithm will assess the optic disc centered fundus picture and determine whether or not there is a need for referrable based on a pre-determined threshold (\>=0.73)