Validation of 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

ConditionGlaucoma

Trial statusRecruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age18+

SponsorDemocritus University of Thrace

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Age ≥18 years. Availability of a high-resolution color fundus photograph. Confirmed diagnosis established by a specialist.

Disqualifiers

Poor-quality images. Coexisting ocular diseases that interfere with image interpretation.

Trial population

Participants that are able to provide consent for their fundus photograph to be recorded

Trial design

Design model

Cohort

Time perspective

Cross-sectional

Treatments tested in this trial

color fundus photograph
Diagnostic test
Color retinal fundus photographs will be acquired from: Digital non-mydriatic fundus cameras.

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

Validation 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

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Democritus University of Thrace

Lead sponsor

Source ClinicalTrials.gov

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