ReviewGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2026
The application of artificial intelligence in myopia prediction for children and adolescents: a review.
Review in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
Funding
Abstract
Myopia stands as a major threat to the eye health of children and adolescents, impacting their daily lives and academic performance. Early detection and implementation of targeted interventions are critical strategies to prevent myopia onset and slow its progression. Early detection and intervention help prevent and control myopia. With the development of artificial intelligence (AI), AI techniques have gradually been applied in the field of myopia prediction among children and adolescents. This article reviews the application of AI methods in myopia prediction, summarizing key areas such as refractive power prediction, myopia screening, analysis of risk factors, myopia control, pathological myopia analysis and prediction of ocular biological parameters. Furthermore, we highlight the major advancements and challenges in the field of myopia prediction for children and adolescents.
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42678411What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.