随着人口基数的增长和社会的老龄化,人群中视功能障碍,甚至盲的问题日趋严重,传统的医疗模式已无法满足每年数量剧增的患者的复明需求.眼球位于体表,屈光间质透明,眼部的可视化特征有利于病变的直接活体观察,使得眼科图像的量化数据成为白内障、角膜病和视网膜疾病等主要致盲眼病筛查和诊断的主要依据.随着相关设备研发水平和计算机数据分析技术的不断提高,我国眼科日常医疗“闲置”了海量眼病诊疗数据,构建致盲眼病人工智能(AI)辅助诊断平台条件已逐渐成熟.如何整合我国丰富的眼科图像数据库资源,深化和有效利用已有的检测和分析技术,建立致盲眼病一体化AI应用平台是现阶段值得关注的重要问题.%With the global trend of aging populations,the prevalence of blindness is expected to increase.However,due to deficiencies and imbalances,medical resources are far from satisfactory for ophthalmic disease diagnosis and management,particularly in primary medical facilities of developing countries.Eyeball is a visualized organ with its superficial position and transparent refractory media.Therefore,many ophthalmic diseases can be screened and diagnosed from images and photographs,such as cataract,cornea diseases and retinopathy,etc.As the development of data mining technology and accumulation of large amount of ophthalmic clinical data,the conditions are ripe for establishment of artificial intelligence (AI) diagnostic platform.Currently,attention should be focused on integrating the abundant ocular imaging resources,practically applying the data mining technology and gradually developing the universal AI platform for the management of ophthalmic disease.
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