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Updated: Jan 28, 2026

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Predicción de la progresión de la miopía infantil mediante aprendizaje profundo utilizando imágenes de fondo de ojo y

Meng-Tian Kang¹, Yansong Hu², Ningli Wang¹

¹Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Intelligent Diagnosis Technology and Equipment for Optic Nerve-Related Eye Diseases, National Engineering Research Center for Ophthalmology, Engineering Research Center of Ophthalmic Equipment and Materials (Ministry of Education), Capital Medical University, Beijing, China.

JAMA network open

|January 26, 2026

Resumen

Un novedoso modelo de aprendizaje profundo predice con precisión la progresión de la miopía y el riesgo de miopía alta en escolares utilizando únicamente imágenes de fondo de ojo y datos de refracción. Este método permite una intervención temprana, especialmente en entornos con recursos limitados.

Palabras clave:

aprendizaje profundo miopía infantil predicción de la progresión imágenes de fondo de ojo datos de refracción intervención temprana salud ocular pediátrica inteligencia artificial evaluación del riesgo estudios longitudinales

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