Primary Objective To validate the artificial intelligence subsystem of the DDART medical device for the automated detection of lesions compatible with glaucoma in a random sample of retinal fundus photographs.
Study Type
OBSERVATIONAL
Enrollment
2,000
Color retinal fundus photographs will be acquired from: Digital non-mydriatic fundus cameras.
University Hospital of Alexandroupolis
Alexandroupoli, Greece
RECRUITINGValidation of the sensitivity and specificity of the artificial intelligence subsystem for AMD detection
Time frame: 1 year
Validation of the sensitivity and specificity of the artificial intelligence subsystem for diabetic retinopathy detection
Time frame: 1 year
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