The combination of “artificial intelligence (AI)+ medical” provides new ideas for improving medical quality and innovating clinical diagnosis and treatment modes.The research of AI in ophthalmology is in the ascendant, however, the current challenges of ophthalmic AI research remains: the lack of high quality and standardized ophthalmic image database; the insufficiency of innovative ophthalmic AI algorithms; the versatility of ophthalmic AI system is deficient; the innovation direction of ophthalmic AI research and development is single and limited.The ideas and strategies for promoting the development of ophthalmic AI research in China include: establishing standardized ophthalmic image database and management system; strengthening researches on AI innovative algorithms; developing ophthalmic AI system for multiple scenarios, multiple channels and multiple levels; exploring innovative ophthalmic AI application modes.Only by cross-collaboration and collaborative innovation, combined with virtual reality, mobile 5G, functional imaging technologies, smart wearable devices and other transformative technologies, as well as the Chinese brain science program and brain-like function research, can we promote the leap-forward development of Chinese ophthalmic AI.
Authors:Yuan Jin, Li Meng
Cite as Chin J Exp Ophthalmol, 2019,37(8): 599-602.
Ophthalmology; Artificial intelligence; Opportunities, challenges
Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou 510060, China
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