摘要光相干断层扫描（OCT）是一种高分辨率、非接触的活体生物组织结构成像技术，目前已广泛运用于眼科领域尤其是眼底疾病的检查。尽管OCT检查已在我国大部分基层医院普及，然而在大多数情况下仅将其作为定性诊断工具，缺乏对OCT图像的深度挖掘和解析。在人工智能快速发展的时代背景下，以规范的信息化管理为基础，建立较全面的OCT数据库，进一步对OCT图像进行原始图像处理、病变分析、人工智能开发等，有助于提升临床医生对玻璃体视网膜疾病的认识水平，同时也能辅助眼科医师作出更适合的临床决策。

abstractsOptical coherence tomography (OCT), as a high-resolution, non-invasive, in-vivo image method has been widely used in retinal field, especially in the examination of fundus diseases. Nowadays, the modality has been gradually popularized in most of the national basic-level hospitals. However, OCT is only employed as a diagnostic tool in most cases, ophthalmologists lack of awareness of further exploring the information behind the raw data. In the era of fast-developing artificial intelligence, on the basis of standardized information management, a more comprehensive OCT database should be established. Further original image processing, lesion analysis, and artificial intelligence development of OCT images will help improve the understanding level of vitreoretinal diseases among clinicians and assist ophthalmologists to make more appropriate clinical decisions.