Proceedings of the International scientific and practical conference ―Modern Science: Challenges and Perspectives‖ (February 9-11, 2026) / Publisher website: www.naukainfo.com. - London, United Kingdom, 2026. - 121 p.
120 The results of treatment of 44 patients aged 7-14 years with accommodation disorder and mild myopia (up to -3.0 diopters) were analyzed. Of these, 29 patients had visual acuity of 0.6-.09 (group No.1) before treatment, and 15 patients had visual acuity of 0.3-0.5 (group No.2). Each patient received 10 procedures of videocomputer autotraining using the Amblyocore system in the ―relax‖ mode according to the schedule: 5 procedures - 2 days of rest - 5 procedures. During treatment, visual load was limited, no additional medication was used. On the tenth day of treatment, the patients' visual acuity was re-measured according to the standard procedure. When analyzing the results, it was found that visual acuity in group No. 1 in 100% of cases was 1.0. In group №2, five patients (33.3%) had visual acuity of 1.0, eight patients (53.3%) had 0.8-09, and one patient (6.7%) had visual acuity increase by only 0.2. Another patient almost did not respond to treatment: with initial visual acuity (OD/OS = 0.3/0.3), after the tenth procedure he had the corresponding indicators (OD/OS = 0.4/0.3). Based on the above, we can conclude that the use of the video computer auto- training method is an effective procedure in the treatment of accommodation disorders and mild myopia even as monotherapy. However, to assess the duration and stability of the treatment effect, as well as to establish the optimal frequency of procedure sessions, it would be advisable to further investigate the dynamics of changes in visual acuity in this group of patients during the year. REFERENCES: 1. Brennan N. A., Cheng X. A Review of Theoretical and Evidence-based Myopia Control. Clinical and Experimental Optometry. 2023. Vol. 106, No. 2. P. 115– 124. 2. Cochrane Database of Systematic Reviews. Interventions for Myopia Control in Children: AMeta-analysis. 2023. Issue 11. Art. No.: CD004916.
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