Research progress of artificial intelligence in the prevention and control of myopia

Autor: Xiao-Pei Zhang, Jian-Feng Huang, Tong-Yan Li, Wei-Hua Yang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Guoji Yanke Zazhi, Vol 23, Iss 11, Pp 1907-1910 (2023)
Druh dokumentu: article
ISSN: 1672-5123
DOI: 10.3980/j.issn.1672-5123.2023.11.27
Popis: Myopia is one of the main causes of visual impairment. In recent years, the incidence of myopia has been increasing. Effective prevention and control of myopia is essential for maintaining patients' visual function and quality of life. With the continuous development of computer technology and big data acquisition, artificial intelligence(AI)is developing rapidly in the field of medical and health care. Machine learning and deep learning are gradually emerging in the field of myopia prevention and control. Through the AI model formed by training the diopter, axial length, color fundus photography, optical coherence tomography and other myopia-related data, with the help of remote medical platform, AI has played a positive role in the occurrence, progress prediction and monitoring of myopia, early warning of pathological myopia, prevention and treatment of myopia and ophthalmological telemedicine. This paper mainly reviews the research progress of AI in the field of myopia prevention and control, aiming to provide a new direction for the prevention and control of myopia in the future.
Databáze: Directory of Open Access Journals