Accelerating the construction of artificial intelligence diagnostic platform based on ophthalmic imaging database
10.3760/cma.j.issn.2095-0160.2018.08.001
- VernacularTitle:加快基于眼科图像数据库的眼病人工智能辅助诊断平台建设
- Author:
Haotian LIN
1
;
Xiaohang WU
Author Information
1. 中山大学中山眼科中心 眼科学国家重点实验室
- Keywords:
Ophthalmic diseases;
Artificial intelligence;
Ocular images;
Data mining
- From:
Chinese Journal of Experimental Ophthalmology
2018;36(8):577-580
- CountryChina
- Language:Chinese
-
Abstract:
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.
