Research progress and application status of artificial intelligence in fundus image analysis
Journal Title: Eye Science (Yanke Xuebao) - Year 2022, Vol 37, Issue 3
Abstract
In recent years, artificial intelligence (AI) in ophthalmology has developed rapidly. Fundus image has become a research hotspot due to its easy access and rich biological information. The application of AI analysis in fundus image is under continuous development and exploration. At present, there have been many AI studies on clinical screening, diagnosis and prediction of common fundus diseases such as diabetic retinopathy (DR), age-related macular degeneration (AMD), and glaucoma, and related achievements have been gradually applied in clinical practice. In addition to ophthalmic diseases, exploring the relationship between fundus features and various diseases and developing AI diagnostic systems based on this has become another popular research field. The application of AI in fundus image analysis will improve the shortage of medical resources and low diagnostic efficiency, and open up a “new track” for screening and diagnosis of various diseases. In the future, research on AI analysis of fundus image should focus on the intelligent and comprehensive diagnosis of multiple fundus diseases, and comprehensive auxiliary diagnosis of complex diseases, and lays emphasis on the integration of standardized and high-quality data resources, improve algorithm performance, and design clinically appropriate research program.
Authors and Affiliations
Donglin GUO, Fabao XU, Yajun GONG, Yifan XIANG, Qiang LI, Haotian LIN
Keywords
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- EP ID EP763641
- DOI 10.3978/j.issn.1000-4432.2022.03.07
- Views 32
- Downloads 0
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