Zhang Juzhao, Zou Haidong
Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Eye Diseases Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
Front Cell Dev Biol. 2023 Jan 17;11:1124005. doi: 10.3389/fcell.2023.1124005. eCollection 2023.
Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image and data analysis and has been introduced to address challenges in the clinical practice of many ocular diseases. AI research in myopia is still in its early stages. Understanding the strengths and limitations of each AI method in specific tasks of myopia could be of great value and might help us to choose appropriate approaches for different tasks. This article reviews and elaborates on the technical details of AI methods applied for myopia risk prediction, screening and diagnosis, pathogenesis, and treatment.
近视是一个重大的全球健康问题，会影响人类视觉功能，导致远距离视力模糊。该领域仍存在许多未解决的挑战，需要新技术的帮助。目前，人工智能（AI）技术在医学图像和数据分析中占据主导地位，并已被引入以应对许多眼科疾病临床实践中的挑战。近视方面的人工智能研究仍处于早期阶段。了解每种人工智能方法在近视特定任务中的优势和局限性可能具有重要价值，并可能帮助我们为不同任务选择合适的方法。本文回顾并阐述了应用于近视风险预测、筛查与诊断、发病机制及治疗的人工智能方法的技术细节。
