随着近视人口的逐年增长，近视已经成为全球关注的热点问题。如何预防近视、控制近视进展、减少病理性近视的发生、减少近视的成本投入是临床工作及科学研究的主要目的。阿托品是目前防控近视的主要药物方法，实验室研究及临床试验均已证实其显著的近视防控效果。美国眼科学会推荐使用0.01%低浓度阿托品，目前报道其近视防控效果为50%~53%。本文汇总了近年来近视防控相关的临床与实验室研究，对阿托品近视防控效果、其相关影响因素(如浓度、个体差异、生物利用度等)以及作用机制等方面的研究进展进行归纳综述，并分析了阿托品用于临床儿童近视防控工作存在的困难与挑战。

As the population of myopia grows rapidly, myopia has become a hot issue of global concern. Preventing myopia and slowing the progression of myopia to reduce the occurrence of pathological myopia and reduce the cost of myopia is the main purpose of related clinical work and scientific researches. Currently, atropine is the main drug for the prevention and control of myopia, and both laboratory studies and clinical trials have confirmed its effect. The American Academy of Ophthalmology recommends the use of 0.01% atropine, which is reported to be 50% to 53% effective in preventing and controlling myopia. This review collects the clinical and laboratory researches in decades to summarize the study progress in atropine for preventing and controlling myopia, including the clinical application effects, the influencing factors such as concentration, individual differences, bioavailability, and the related mechanisms. We also highlight the existing difficulties and challenges in the use of atropine in clinic.

近视是危害儿童青少年视力最常见的眼部疾病，高度近视对视功能造成极大的威胁。近年来，我国近视发病率逐年升高，对近视筛查与防控的需求也不断增加，随着人工智能理论与技术的不断发展与成熟，可以辅助眼科医生进行近视筛查、诊断与治疗。本文将简要介绍人工智能在近视的筛查、预测、检测、病理性近视以及角膜屈光手术中的应用，浅谈了目前人工智能在研究中存在的可比度较低、影像要求较高、可解释性较低及隐私保护等问题，并展望人工智能在近视相关领域的应用前景。

Myopia is the most common ocular disease that harms the vision of children and adolescents. High myopia poses a great threat to visual function. The incidence of myopia in China has been increasing in recent years, and the demand for myopia screening, prevention and control has also expanded. With the continuous development of artificial intelligence theory and technology, Artificial intelligence can assist ophthalmologists in myopia screening, diagnosis and treatment. This review will briefly introduce artificial intelligence in the screening, prediction, and detection of myopia; also, the application in pathological myopia and corneal refractive surgery. This review will discuss some problems of current artificial intelligence research, such as low comparability, high image requirements, low interpretability, privacy protection, and the application prospects of artificial intelligence in myopia.