Uncorrected myopia affects human vision and visual function and is considered a global public health problem that places an increasing burden on the healthcare system.In addition, high myopia and pathological myopia can increase the risk of complications such as retinopathy, which can lead to irreversible visual impairment.Therefore, it is important to detect myopia early, intervene in time to prevent myopia progression and detect and treat complications early.Artificial intelligence (AI) models based on big data in healthcare have the potential to help guide the individualized treatment of myopia, and AI may be a feasible solution to the myopia pandemic, which has an important value in early detection, risk stratification, progression prediction and timely intervention.In view of the high incidence rate and prevalence of myopia, the Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association and the Ophthalmology Committee of International Association of Translational Medicine organized experts to summarize the current application of AI in myopia, analyze the important current challenges, and propose the future direction of AI in myopia to form the Consensus on the application of artificial intelligence in myopia (2024), which is intended to provide a reference for AI in myopia prevention and precision medicine.

Myopia; Artificial intelligence; Machine learning; Deep learning