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.

青光眼作为首位不可逆性致盲眼病给患者、家庭和社会带来重大损害和沉重的经济负担。在视觉2020计划收官之年，中国青光眼防治工作已获得较好成绩，但仍面临严峻挑战。在未来，中国青光眼防治工作将以《2020中国青光眼指南》为蓝本，有望依托人工智能技术，实现对青光眼患者的高效、便捷、准确的筛查和诊断；以患者个体特征、疾病特点和社会环境为立足点，采取个性化和精准化治疗；结合慢病管理的全生命周期概念，实现对患者的终身监测和指导。提高我国青光眼诊治水平，减少青光眼致残致盲。

Glaucoma is a leading cause of irreversible blindness in the world. It brings great damage and heavy economic burden to patients, their families and society. Under the Vision 2020 initiative, great progress has been achieved in the glaucoma prevention and treatment in China, but there are still severe challenges ahead. In the future, the Guideline for Glaucoma Care in China (2020) will act as the blueprint of the prevention and treatment of glaucoma in China. Efficient, convenient and accurate screening and diagnosis of glaucoma will be achieved relying on the artificial intelligence technology. Personalized and precision therapy will be carried out based on individual and disease characteristics and social environment. Also, lifelong monitoring and guidance of patients will be realized in the context of the whole life cycle of chronic diseases. Glaucoma care will be further improved to continuously reduce vision impairment and blindness caused by glaucoma.

青光眼作为世界第一位不可逆致盲性眼病，如何早期发现、及时诊断、恰当治疗并坚持随访管理，一直是广大眼科临床工作者所努力的方向。当前，世界处于百年未有之大变局，中国处于近代以来最好的发展时期，两者同步交织、相互激荡。在今后的5~10年中，我国青光眼防治领域将产生很多令人瞩目的成就。笔者仅以个人对本专业粗浅的理解，对未来我国青光眼防治发展作一展望，祝愿我国防盲治盲事业取得更大进步。

Glaucoma is the first irreversible blinding eye disease in the world. How to detect early, diagnose timely, treat appropriately and adhere to follow-up management has always been the direction of Chinese ophthalmic clinical workers. At present, the world is undergoing profound changes, and China is in the best period of development since modern times. In the next 5–10 years, there will be many remarkable achievements in the field of glaucoma prevention and treatment in China. Based on our personal understanding of this specialty, we look forward to the development of glaucoma management in China in the future, and wish to make greater progress in blindness prevention and treatment in China.

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.