[关键词]
[摘要]
近视是引起视力损害的主要原因之一，近年来，其发病率逐年升高。有效的近视防控对于维持患者的视觉功能和生活质量非常重要。随着计算机大数据技术的不断发展，人工智能(AI)在医疗卫生领域飞速发展。机器学习和深度学习逐渐在近视防控领域崭露头角。通过对屈光度、眼轴、彩色眼底照相和光学相干断层扫描成像等近视相关数据的训练而形成的AI模型，借助远程医疗平台，人工智能在近视的发生、进展预测、监测、预警病理性近视、近视防控治疗和眼科远程医疗等方面均取得了积极的作用。本文主要就人工智能技术在近视防控领域的研究进展进行综述，旨在为未来近视防控工作提供新的方向。
[Key word]
[Abstract]
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.
[中图分类号]
[基金项目]
深圳市自然科学基金(基础研究专项)重点项目(No.JCYJ20220818103207015)
