Insights and prospectives of ophthalmologic artificial intelligence technology
10.3760/cma.j.issn.1005-1015.2019.02.003
- VernacularTitle:眼科人工智能技术的现状与问题
- Author:
Youxin CHEN
1
;
Bilei ZHANG
;
Hongzhe ZHANG
Author Information
1. 中国医学科学院北京协和医学院北京协和医院眼科 100730
- Keywords:
Artificial intelligence;
Diabetic retinopathy;
Macular degeneration;
Glaucoma;
Editorial
- From:
Chinese Journal of Ocular Fundus Diseases
2019;35(2):119-123
- CountryChina
- Language:Chinese
-
Abstract:
For the past few years,artificial intelligence (AI) technology has developed rapidly and has become frontier and hot topics in medical research.While the deep learning algorithm based on artificial neural networks is one of the most representative tool in this field.The advancement of ophthalmology is inseparable from a variety of imaging methods,and the pronounced convenience and high efficiency endow AI technology with promising applications in screening,diagnosis and follow-up of ophthalmic diseases.At present,related research on ophthalmologic AI technology has been carried out in terms of multiple diseases and multimodality.Many valuable results have been reported aiming at several common diseases of ophthalmology.It should be emphasized that ophthalmic AI products are still faced with some problems towards practical application.The regulatory mechanism and evaluation criteria have not yet integrated as a standardized system.There are still a number of aspects to be optimized before large-scale distribution in clinical utility.Briefly,the innovation of ophthalmologic AI technology is attributed to multidisciplinary cooperation,which is of great significance to China's public health undertakings,and will be bound to benefit patients in future clinical practice.
