Applications of artificial intelligence in the diagnosis of eye diseases / 中华眼底病杂志
Chinese Journal of Ocular Fundus Diseases
; (6): 506-509, 2019.
Article
in Zh
| WPRIM
| ID: wpr-792116
Responsible library:
WPRO
ABSTRACT
Ophthalmic imaging examination is the main basis for early screening, evaluation and diagnosis of eye diseases. In recent years, with the improvement of computer data analysis ability, the deepening of new algorithm research and the popularization of big data platform, artificial intelligence (AI) technology has developed rapidly and become a hot topic in the field of medical assistant diagnosis. The advantage of AI is accurate and efficient, which has great application value in processing image-related data. The application of AI not only helps to promote the development of AI research in ophthalmology, but also helps to establish a new medical service model for ophthalmic diagnosis and promote the process of prevention and treatment of blindness. Future research of ophthalmic AI should use multi-modal imaging data comprehensively to diagnose complex eye diseases, integrate standardized and high-quality data resources, and improve the performance of algorithms.
Full text:
1
Index:
WPRIM
Type of study:
Diagnostic_studies
Language:
Zh
Journal:
Chinese Journal of Ocular Fundus Diseases
Year:
2019
Type:
Article