Eye Diseases Artificial Intelligence
Diagnosis of Diabetic Retinopathy (DR), Detection of Glaucoma, Age-Related Macular Degeneration (AMD), Diagnosis and Classification of Cataracts, Keratoconus and Corneal Diseases, Retinal Vascular Diseases
Artificial Intelligence in Ophthalmology
Artificial intelligence (AI) is bringing revolutionary innovations to the diagnosis and monitoring of eye diseases, just as it has in the broader healthcare field. Thanks to advanced imaging systems and AI-powered software, many eye diseases can now be detected much earlier, more quickly, and with greater accuracy.
Features
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It can grade diabetic retinopathy by analyzing fundus photographs.
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The presence and progression of glaucoma can be monitored through optic nerve head analysis.
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Models capable of automatically analyzing visual field tests have been developed.
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It can identify signs of AMD in retinal OCT (Optical Coherence Tomography) images.
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Even early-stage macular changes can be detected.
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It assists in the surgical planning process.
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Early diagnosis of keratoconus can be made using corneal topography and tomography data.
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High-risk patients can be identified prior to refractive surgery.
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By analyzing retinal vascular structure, conditions related to hypertension or vascular occlusion can be detected.
In Which Patients Is It Used?
Artificial intelligence can detect early signs of serious eye diseases—such as diabetic retinopathy, macular degeneration, glaucoma, and retinal vascular diseases with a high degree of accuracy by analyzing retinal images. This enables treatment planning before the diseases progress.
