In this case reportit describes a novel technique using indocyanine green gel for the surgical excision of conjunctival lymphangiectasia (CL). CL was found on the nasal side of left eye in a 50-year-old male. Surgical excision of the entire cystic lesion with an intact cyst wall was completed with the assistance of an indocyanine green (ICG) gel. No sutures were used throughout the entire procedure. Subsequent post operative follow-up was uneventful. Herein, we report a novel technique used to facilitate the identifcation and complete removal of an intraocular cystic lesion ensuring an intact cyst wall.

In this case reportit describes a novel technique using indocyanine green gel for the surgical excision of conjunctival lymphangiectasia (CL). CL was found on the nasal side of left eye in a 50-year-old male. Surgical excision of the entire cystic lesion with an intact cyst wall was completed with the assistance of an indocyanine green (ICG) gel. No sutures were used throughout the entire procedure. Subsequent post operative follow-up was uneventful. Herein, we report a novel technique used to facilitate the identifcation and complete removal of an intraocular cystic lesion ensuring an intact cyst wall.

白内障是世界范围内致盲的主要原因之一，占中低收入国家致盲病例的50%。随着人口老龄化程度的加深，到2050年中国白内障致盲病例预计达到2 000万。卫生支出占比低、医疗设备及眼科医生紧缺、筛查费用昂贵仍是中低收入国家无法开展大规模白内障筛查的主要原因。人工智能(artificial intelligence，AI)协助白内障诊断具有便捷、低成本、可远程进行等优点，有望减少甚至避免白内障致盲的发生。文章将对AI通过结合裂隙灯眼前节图像、眼底照片及扫频源光学相干层析图像进行白内障自动诊断等研究进行简要综述。

Cataract is a primary cause of blindness globally, particularly accounting for 50% of blindness cases in low- and middle- income countries. As the population ages, it is predicated that cataract blindness cases in China will rise to 20 million by 2050. However, low health expenditures, scarcity of medical equipment and ophthalmologists, and high screening costs continue to hinder mass cataract screening in these countries. Artificial intelligence(AI)-assisted cataract diagnosis offers significant advantages, including convenience, cost-effectiveness, and remote accessibility, potentially reducing or even eliminating cataract blindness. This review aims to concisely summarize the research on automatic cataract diagnosis utilizing AI, incorporating slit lamp images of anterior eye segment, fundus photographs, and swept source optical coherence tomography images.

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.

    泪膜是覆盖于眼球表面的一层液体薄膜，从内而外分为黏液层、水液层和脂质层，每层成分的改变都会导致泪膜不稳定，进而导致干眼的发生。在研究泪膜破裂方式及相关泪液成分改变的基础上，学者Yokoi及其团队分别在2012年和2013年提出了有关干眼治疗和诊断的新概念，称为泪膜导向治疗(tear film-oriented therapy，TFOT)和泪膜导向诊断(tear film-oriented diagnosis，TFOD)，就是根据泪膜破裂模式(tear film break-up pattern，TFBUP)的不同，推断出相应的泪膜成分改变，补充不足的泪膜成分，这种诊疗方法目前正逐渐被接受。本文对不同泪膜破裂方式与泪膜成分改变的关系做了汇总分析，旨在为干眼的诊断和治疗提供更为科学实用的指导方案。

    Tear film is a layer of fluid film covering the surface of eye global, which is divided into mucus layer, aqueous layer and lipid layer from inside to outside. The change of each layer composition will lead to tear film instability, resulting in the occurrence of dry eye. On the basis of numerous studies on the correlation between tear composition and tear film break-up patterns, Yokoi and his team proposed new concepts on the diagnosis and treatment of dry eye called tear film-oriented therapy (TFOT) and tear film-oriented diagnosis (TFOD) in 2012 and 2013. That is according to different tear film break-up patterns (TFBUP), so changes in tear film composition can be deduced and supplemented, and this diagnosis and treatment method is gradually being accepted. In this paper, we summarized and analyzed the relationship between different tear film break-up patterns and changes in tear film composition to provide a more scientific and convenient guidance program for the diagnosis and treatment of dry eye.