Abstract:

A huge number of patients suffer from ophthalmic diseases, which can lead to disability if left untreated. The ophthalmic diseases not only affect life quality of patients, but also cause a heavy medical burden on society. Meanwhile, there is a shortage of ophthalmologists, and there are differences in ophthalmic treatment facilities and technologies between primary medical institutions and tertiary hospitals. China is currently facing an unequal allocation of medical resources. The machine learning technology has important research significance for improving the ability of ophthalmology screening and realizing early intervention of diseases. This paper analyzes and summarizes the application status of machine learning technology in the auxiliary diagnosis and treatment of ophthalmic diseases. Then, according to the characteristics of medical equipment using machine technologies, it analyzes the regulatory difficulties and puts forward development suggestions.

Key words: machine learning, deep learning, auxiliary diagnosis, ophthalmic diseases, medical equipment