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[Methods for predicting the risks of development, course and recurrence of rhegmatogenous retinal detachment].

E R MinnullinaA N SamoylovF V KhuzikhanovG Z ZakirovaZ G Kamalov
Published in: Vestnik oftalmologii (2024)
Rhegmatogenous retinal detachment (RRD) is a severe disease of the visual organ that is one of the leading causes of blindness worldwide. Without surgical treatment, RRD almost always leads to vision loss and blindness. Surgical treatment in the early stages of the disease reduces the risk of blindness. This article analyzes scientific publications reflecting the issues of prognosis and prevention of RRD. Literature analysis showed that there are few prognostic matrices in ophthalmology in general, and specifically related to RRD. Most prognostic matrices for RRD are aimed at preventing its recurrence and predicting the development or progression of peripheral vitreochorioretinal dystrophy in the operated or fellow eye. Building a prognostic matrix for the risk of occurrence and development of such a serious disease as RRD in adults will allow early prediction, enabling surgical treatment in the shortest possible time and positively influencing the functional outcome of treatment.
Keyphrases
  • early onset
  • risk assessment
  • artificial intelligence
  • machine learning
  • deep learning