Research status and prospects of application of artificial intelligence in retinal diseases

doi:10.3877/cma.j.issn.2095-2007.2020.06.010

Abstract

Abstract:

The population of retinal diseases is huge, and diagnosis and efficacy judgment of retinal diseases are mostly based on fundus images. It is suitable for data mining using information technology, especially for deep learning (DL) that requires large amounts of data for algorithm training. DL-based medical image analysis technology is outstanding in retinal diseases. Recently, domestic studies have shown that generative adversarial network (GAN) has potential of generating high-quality, high-precision optical coherence tomography image. The use of artificial intelligence (AI) technology may be expected to achieve clinical key steps such as diagnosis, efficacy judgment and prediction, and even treatment options in common retinal diseases. This article focuses on the current application of AI technology in the field of retinal diseases, and aims to discuss the current status and future development of AI applications in the diagnosis and treatment of retinal diseases.

Key words: Retinal disease, Artificial intelligence, Deep learning, Generative adversarial network, Review

Shihui Wang, Xiaofeng Hao, Like Xie. Research status and prospects of application of artificial intelligence in retinal diseases[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2020, 10(06): 374-379.

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