Table 2. Applications of artificial intelligence in ophthalmology.
Use | AI system |
Diabetic retinopathy screening | Software based on deep learning techniques [31] |
Diagnosis of plus and pre plus disease in an independent test set of 100 retinal images | Algorithm based on deep learning to automatically diagnose plus disease from retinal photographs [65, 66] |
Effective triage of the patients and facilitation of glaucoma clinical practice (not yet approved) | AI with deep learning algorithm [78] |
Assessment and diagnosis of adult and pediatric cataracts of varying severities | Deep learning algorithm, “ResNet” [89] |