Artificial Intelligence Analysis of Fundus Images—Opportunities and Challenges

Medical imaging technology plays an important role in the screening, evaluation, diagnosis, and monitoring of fundus diseases. In recent years, the development of multi-modality imaging fusion technology, image databases, standardized protocols and image analysis have extracted large amounts of information from image-based features. Artificial intelligence applications in fundus imaging will bring new opportunities for increasing the rate of disease diagnosis, accelerating the development of new drugs, promoting research and development, improving diagnosis and treatment, and judging the prognosis of patients. This review covers the research status, difficulties and trends of the combination of artificial intelligence and fundus imaging, as well as taking China's national status into consideration, with the goal of presenting an objective update on relevant topics and new prospects in this field. Key words: fundus imaging; artificial intelligence; diagnosis