人工智能在眼病筛查和诊断中的研究进展

Research progress of artificial intelligence in screening and diagnosis of eye diseases

近年来随着人口老龄化的发展、人群用眼方式的改变,现有的眼科医疗资源正越来越难以满足日渐增长的医疗需求,亟需新型的诊疗模式予以补足。眼科人工智能作为眼科领域的新兴元素,在眼病的筛查诊断中发展迅速,主要表现为“眼部图像数据+人工智能”的模式。近年来,随着该模式在白内障、青光眼、糖尿病性视网膜病变(diabetic retinopathy,DR)等常见病中研究的深入,相关技术日渐成熟,表现出了较大的应用优势与应用前景,部分技术甚至成功转化并被逐渐应用于临床。眼科诊疗向智慧医学模式的过渡,有望缓解日益增长的医疗需求与紧缺的医疗资源之间的矛盾,从而提高整体的医疗服务水平。

The development of population aging and changes in the way people use their eyes over the recent years have increasingly challenged the existing ophthalmic medical resources to meet the growing medical needs,thus urgently calling for a novel diagnostic and treatment mode.Despite its status as an emerging sector in ophthalmology,ophthalmic artificial intelligence has developed rapidly in the screening and diagnosis of eye diseases,as can be seen in practices adopting the “eye imaging data + AI” mode.In recent years,with the intensified research on this mode with respect to common diseases such as cataract,glaucoma and diabetic retinopathy,relevant technologies have grown increasingly mature,presenting undeniable application superiority and prospects.Some of the relevant technical achievements have also been successfully transformed for practical usage,and are gradually being applied to clinical practices.Ophthalmic diagnosis and treatment are transitioning toward the era of intelligent medical services,which are expected to reduce the contradictions between the growing medical needs and the shortage of medical resources,as well as ultimately improve the overall experience of medical services.