AI-enabled multimodal framework for whole-life myopia management. (IMAGE)
Caption
The graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be integrated into artificial intelligence–based prediction models to support individualized risk stratification, progression forecasting, and treatment-response prediction. These models may inform intervention selection across myopia control, myopia correction, and pathologic myopia treatment, while requiring consideration of fairness, safety, trustworthiness, and cost-effectiveness. Ultimately, AI-driven decision support may contribute to precision, whole-life myopia management from childhood to adulthood and older age.
Credit
Zewei Zhang
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