Accelerating the construction of artificial intelligence diagnostic platform based on ophthalmic imaging database

Authors: Lin Haotian,  Wu Xiaohang

DOI: 10.3760/cma.j.issn.2095-0160.2018.08.001
Published 2018-08-10
Cite as Chin J Exp Ophthalmol, 2018,36(8): 577-580.

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.

Key words:

Ophthalmic diseases; Artificial intelligence; Ocular images; Data mining

Contributor Information

Lin Haotian
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
Wu Xiaohang
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Updated: September 4, 2019 — 9:45 am