[关键词]
[摘要]
微生物性角膜炎(MK)是由细菌、病毒、真菌、棘阿米巴等微生物感染引起的角膜组织炎症病变，是导致角膜盲的重要原因之一。活体共聚焦显微镜(IVCM)是一种非侵入性成像技术，可通过IVCM快速、实时地获取角膜组织的高分辨率图像，在角膜疾病的诊断和临床研究中表现出独特的优势。近年来，随着学科交叉与融合，人工智能在辅助识别微生物性角膜炎IVCM图像的特征结构中崭露头角，对准确、快速地诊断MK具有重要的临床价值。因此，本文将从IVCM在诊断MK中的特征性表现以及人工智能在辅助医生诊断MK应用的进展两个方面进行综述，为进一步推动人工智能辅助共聚焦显微镜诊断角膜炎的诊疗做基础。
[Key word]
[Abstract]
Microbial keratitis(MK)is a common corneal blind eye disease in the world. Severe keratitis can cause irreversible complications and even lead to blindness. Rapididentification of pathogen is the key for early and accurate MK treatment and a large of clinical data indicated that identifying the type of infected microorganisms accurately and quickly is still a challenge for ophthalmologists. The in vivo confocal microscopy(IVCM)is a non-invasive imaging technology that can provide high-resolution images of all corneal layers in a fast and real-time manner, has been used in the diagnosis and follow-up of corneal diseases. In recent years, with the intersection and integration of disciplines, artificial intelligence has been used to identify the characteristic structures in microbial keratitis IVCM images, which has brought important value for accurate and rapid diagnosis of microbial keratitis. Therefore, this article will review the characteristics of confocal microscopy in the diagnosis of microbial keratitis and the application of artificial intelligence in the diagnosis of microbial keratitis. It is of great significance to promote the diagnosis and treatment of keratitis in the future.
[中图分类号]
[基金项目]
广西医疗卫生适宜技术开发与推广应用项目(No.S2019084)
