Journal of Dali University ›› 2026, Vol. 11 ›› Issue (4): 14-20.DOI: 10. 3969 / j. issn. 2096-2266. 2026. 04. 003

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Expert Recommendations on Strengthening the Development of Intelligent Systems for Myopia Prevention#br# and Control

Expert Working Group on Pre-Clinic Myopia Recommendations   

  • Received:2025-08-26 Revised:2026-03-05 Online:2026-04-15 Published:2026-05-19

Abstract: Objective:To clarify the concepts of pre-clinic myopia (PCM) and pre-myopia (PM) in children and adolescents and their
significance in myopia prevention and control, and to explore the application of information technology in early warning and interven⁃
tion for myopia. Methods: Based on current research progress in myopia prevention and control and expert clinical experience, the defi⁃
nitions of PCM and PM, the construction of information-based early warning systems, behavioral intervention measures, and evaluation
methods for prevention and control activities were systematically reviewed and summarized. Results: PCM and PM are important stages
before the development of myopia in children, with PCM generally identified earlier than PM through non-cycloplegic screening. By es⁃
tablishing behavior-based warning systems, examination-based warning systems, and myopia progression prediction systems, dynamic
monitoring and early warning of myopia risk can be achieved. Combined with scientific education, behavioral intervention, and medical
intervention, as well as screening evaluation, vision health record management, and feedback mechanisms through information plat⁃
forms, the precision and effectiveness of myopia prevention and control can be further improved. Conclusion: Establishing an informa⁃
tion technology-based system for early warning and intervention of myopia can facilitate early identification and precise intervention of
myopia risk in children and adolescents, thereby helping reduce myopia incidence and delay disease progression.

Key words: pre-clinic myopia, pre-myopia, children and adolescents, myopia prevention and control, intelligent system develop?
ment,
expert recommendations

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