| Summary: | It is possible to accurately diagnose diseases in the early stages using optical coherence tomography. A mathematical model has been developed for two diseases: glaucoma and diabetic retinopathy. The model takes into account digital data of ophthalmological equipment obtained from the optic nerve disk and macular area. Criteria that take into account the thickness of the macular zone and the parameters of the optic nerve disc were developed (integral volume and area of the neuroretinal rim, the area of the optic disc excavation). The proposed mathematical model gives the opportunity to predict the development of combined pathology in relation of the integral area of the neuroretinal rim to the integral volume, as well as to a criterion that takes into account the thickness of the macula and the area of excavation of the optic nerve head. The model makes it possible to give a clear risk of developing diseases (low, high) and a significant prognosis of the course of diseases (good prognosis for vision, bad prognosis for vision). The capability of the mathematical model to predict the development of the disease in a patient with type 2 diabetes is demonstrated.
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