目的:探讨眼科病房收治地震伤员期间如何进行医院内感染的预防及控制。方法：对2008年5月12日至5月27日眼科病房收治伤员期间对医院感染存在的高危因素进行分析，从人员、物品、病区环境、伤员的卫生处置等方面加强管理。结果：在收治伤员期间，眼科手术同步开展，无1例院内感染发生。结论：加强预防和控制管理是防治医院感染的关键。
With the rapid development of artificial intelligence (AI), especially deep learning, AI research in the field of ophthalmology has presented a trend of diversification in disease types, generalization in scenarios and deepening in researches. The AI algorithm has showed a good performance in the studies of diabetic retinopathy, age-related macular degeneration, glaucoma and other ocular diseases, yielding up the great potential of ophthalmic AI. However, most studies are still in their infancy, and the application of ophthalmic AI still faces many challenges such as lack of interpretability for results, deficiency of data standardization, and insufficiency of clinical applicability. At the same time, it should also be noted that the development of multi-modal imaging, the innovation of digital technologies (such as 5G and the Internet of Things) and telemedicine, and the new discovery that retina status can reflect systemic diseases have brought new opportunities for the development of ophthalmic AI. Learn the current status of AI research in the field of ophthalmology, grasp the new challenges and opportunities in its development process, successfully realizing the transformation of ophthalmic AI from research to practical application.
Optical coherence tomography (OCT) has developed from time-doma in into Fourier-domain OCT (FD-OCT) which indicates clearer details and higher resolution of images. FD-OCT can indicate the structure and pathological changes of each retinal layer, and reveal the retinal external limiting membranes and changes of inner- and outer-segment of visual cells by 3D solid reconstruction. FD-OCT not only provide detailed information of the images for the clinical diagnosis, but also help us investigting the characteristics and pthological mechanisms of ocular fundus diseases, which lead us to a new era of technology of observation on ocualr fundus diseases. In the application, we should pay attention to the significance of different colors of OCT images, and focus on the cohenrence of the position in the image acquistion during the follow-up period. Dynamic observation on the lesions by FD-OCT and aggregated anaylsis of resutls of several imageological examination would be the development direction of imageological examination of ocular fundus diseases.
Objective To find convenient methods for remote consultation of images of ocular fundus diseases. Methods A remote consultation system composed of internet was set up.The con sultation information,including images,words and figures,was published on intern et as web pages,so that the consultants would get the notice and the appointment by email.After reading the information on line,the consultants gave their opinions back to internet. Results The remote consultation system of images of ocular fundus diseases was setted up and managed successfully,and 23 patients had been diagnosed by this system. Conclusion The system which has clinical practicality is a simple,quick,effective and economic method for remote consultation of images of ocular fundus diseases. (Chin J Ocul Fundus Dis, 2001,17:247-248)
Mast cell (MC) play a crucial role in non-allergic fundus diseases, including uveitis, diabetic retinopathy, and age-related macular degeneration. MCs can profoundly influence the pathological processes of these diseases by regulating inflammatory responses, promoting angiogenesis, and facilitating tissue remodeling through the degranulation and release of mediators such as histamine, cytokines, and enzymes. The application of MC-associated inhibitors has been shown to effectively mitigate or inhibit the progression of these pathologies, offering a promising strategy for treating ocular diseases. Understanding the current state of MC research in fundus diseases will enhance our insight into their role in the pathophysiological mechanisms of these conditions and encourage further research aimed at providing more effective treatment options for patients.