Abstract
This scientific work considers the issues of studying myopia (nearsightedness) using modern computer technologies. The work analyzes the causes of myopia, morphological and functional types, stages of disease development and age-related features. At the same time, the effectiveness of modern digital tools, including ophthalmological diagnostic programs, 3D eye scanners and artificial intelligence-based detection methods, is evaluated. The important role of information technologies in early detection of myopia, monitoring at different stages and the formation of individual treatment approaches is shown. The study also analyzes the possibilities of virtual rehabilitation, interactive applications for eye exercises and treatment via telemedicine. Through these approaches, the possibilities of early detection, prevention of development and effective control of myopia have been identified.
References
Liu, Y., et al. (2019). "Artificial Intelligence for Myopia Prediction and Diagnosis: A Review of Recent Advances." International Journal of Ophthalmology, 12(2), 234-241.
Huang, J., et al. (2020). "Myopia Management with Modern Technologies: A Review." Clinical and Experimental Optometry, 103(3), 234-244.
Wang, Y., et al. (2018). "The Role of Artificial Intelligence in Early Detection of Myopia." Optometry and Vision Science, 95(5), 468-475.
Li, Z., et al. (2021). "Myopia in Children and Adolescents: A Growing Concern in the Digital Age." Journal of Pediatric Ophthalmology and Strabismus, 58(1), 1-6.
Cheng, X., et al. (2022). "Computerized Visual Field Screening: Applications in Myopia Detection." Optometry and Vision Science, 99(4), 250-258.
Chen, Q., et al. (2020). "A Comprehensive Review of Myopia Control Strategies and the Role of Technology." Eye and Vision, 7, 15.
Wang, M., et al. (2019). "Modern Approaches in Myopia Treatment: A Review of Current Technologies." Journal of Refractive Surgery, 35(6), 390-396.
Zhu, S., et al. (2021). "AI in Ophthalmology: Diagnostic and Predictive Capabilities for Myopia." Ophthalmic Research, 64(1), 12-17.