近年来人工智能(artificial intelligence，AI)技术在医学领域的应用发展迅猛，尤其在眼科领域，成果显著，极大地提高了相关影像数据的诊断效率，推动了该领域研究的进展。然而，大多数AI的应用都集中于成人眼病，在婴幼儿眼病方向的研究较少。究其原因，可能是婴幼儿眼部影像数据采集配合度低，部分影像设备应用受限，且相关领域专业眼科医生数量匮乏。然而，婴幼儿期是视觉发育最重要的阶段，也是出生缺陷早期筛防诊治的重灾区，对患儿的视觉发展具有长远且重要的影响，亟需AI相关产品提高婴幼儿眼病筛查效率，缓解医疗资源不足的现状。本文将对近年AI在婴幼儿眼病领域的研究应用现状、进展及存在的相关问题进行综述。

In recent years, the application of artificial intelligence (AI) in medicine, especially in ophthalmology, has developed rapidly with remarkable results. This has greatly improved the diagnostic efficiency of relevant imaging data and promoted further research in this field. However, most applications of AI are focused on adult eye diseases, and few studies have addressed infantile eye diseases. This may be because of the non-cooperative nature of infants, the limited availability of imaging equipment in infants, and the lack of pediatric ophthalmologists. Infancy is the most important stage of vision development. Disturbance during this period have a profound and lasting influence on vision development. Hence, early screening, diagnosis, and treatment of birth defects is important. AI-related products, which improves the efficacy of infant eye disease screening, are urgently needed. This paper reviews the current status, progress, and existing problems of recent research related to application of AI in infantile eye diseases.

幽门螺杆菌(Helicobacter pylori，H P)感染是中心性浆液性脉络膜视网膜病变(central serous chorioretinopathy，CSC)的一个危险因素，但是在HP感染和CSC相关性的研究仍存在争议，目前有两种观点：一是认为HP感染可能是CSC的一个危险因素，二是认为两者之间并没有相关性。本文将就对HP感染是否为CSC危险因素文献进行综述，同时探讨其发病机制。

Helicobacter pylori (HP) infection is a risk factor for central serous chorioretinopathy (CSC). But the existing studies tend to support two distinctively different trends regarding the link between HP infection and CSC. The first group tend to support that: HP infection may be a risk of CSC, and the second tend to claim to no correlation between the two. This paper will review the literature on whether HP infection is a risk factor for CSC and discuss its pathogenesis.