摘要眼科影像学检查是眼部疾病早期筛查、评估和诊断的主要依据.近年随着计算机数据分析能力的提高、新算法研究的深入和互联网大数据平台的普及,人工智能(AI)发展迅猛,成为医学领域辅助诊断的前沿研究热点.AI准确、高效的显著优势在处理图像相关资料中具有极大的应用价值.AI在眼科领域的应用,不仅有助于推动眼科AI研究的发展,也能助力眼科诊断新型医疗服务模式建立,推进防盲治盲的进程.未来眼科AI的研究应综合应用多模态的成像数据,对复杂性眼病进行综合性的辅助诊断;整合标准化、高质量数据资源,提高算法性能.

abstractsOphthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms.