Detection of diabetic retinopathy through artificial intelligence algorithm. DAIA

Medicine Faculty, Bioethics Informatics Department

Improve 85% of uptake of patients who need preventive treatment to avoid saturation of ophthalmology services and timely detection to prevent blindness.

Features and Technical Specifications

• Obtaining background image with non-mydriatic camera.
• Multilayer artificial intelligence algorithm previously trained by expert ophthalmologists with the ability to detect images of healthy patients with patients with any pathology.
• Ability to classify the pathology.
• 95.9% sensitivity and 98% specificity.

Technology and Competitive Advantages

• Patients acquisition who require timely treatment to prevent blindness.
• Immediate diagnosis by artificial intelligence algorithm at low cost.
• Study result is NOT affected by the operator-dependent variable.
• Reduction in health expenses as a result of blindness.

Technology Applications

VALIDATED APPLICATION 

• Timely detections of retinopathy in patients with chronic degenerative diseases in order to prevent blindness.

POTENCIAL APPLICATIONS

• Timely detections of retinopathy in patients with chronic degenerative diseases in order to prevent blindness.