Artificial intelligence is being increasingly used to combat the growing global concern of myopia. AI applications are being developed for early detection, diagnosis, and prediction of myopia progression in both children and adults. These technologies analyse retinal images to detect myopic maculopathy and other complications.
AI-driven models utilise deep learning and convolutional neural networks to classify images and predict refractive errors. AI algorithms like NN-MobileNet effectively scan retinal images, while other models use demographic and clinical variables to forecast myopia progression. Such advancements promise rapid and efficient data processing, automated screening, and individualised predictions, ultimately improving patient outcomes and enabling timely interventions.
These AI tools offer the potential for convenient, home-based screening using mobile photographs, and could ease the burden on ophthalmologists. With myopia rates expected to rise, AI offers a crucial advantage in managing and mitigating vision damage associated with high myopia.
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