Abstract
With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more widespread. As one of the main causes of visual impairment, myopia has a high global prevalence. Early screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient's visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. In addition, AI models and wearable devices based on other forms of data also perform well in the behavioral intervention of myopia patients. Admittedly, there are still some challenges in the practical application of AI in myopia, such as the standardization of datasets; acceptance attitudes of users; and ethical, legal and regulatory issues. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period.
Highlights
With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding
As any degree of myopia will increase the risk of adverse changes in eye tissue, high myopia and pathological myopia (PM) significantly increase the risk of irreversible visual impairment [e.g., glaucoma, retinal detachment, myopic macular degeneration (MMD), and macular choroidal neovascularization] or blindness [19]
This paper introduces the concepts of AI, summarizes the clinical application status, discusses potential challenges and future directions of AI in myopia, and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction of myopia healthcare to provide personalized management throughout the whole process for myopia patients in the post-COVID-19 period
Summary
As one of the main causes of visual impairment, myopia has a high global prevalence. Screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient’s visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. AI models and wearable devices based on other forms of data perform well in the behavioral intervention of myopia patients. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period
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