Wang Yinzongxiao, Zhao Yun, Li Jia
Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Front Med (Lausanne). 2025 Jul 18;12:1617537. doi: 10.3389/fmed.2025.1617537. eCollection 2025.
With the rise of generative artificial intelligence (AI) technology, AI has played a significant role in ophthalmology clinical applications, and AI-generated content (AIGC) has shown great potential in ophthalmology education. Specifically, AIGC plays an important role in lesson plan generation, simulated cases, and disease diagnosis, but its application also faces challenges related to the invasion of patient privacy and the accuracy of generated content. To better enable AIGC and promote the development of ophthalmology education, this article provides an overview of AI and ophthalmology and the application, challenges, and development prospects of AIGC in ophthalmology education. References for related research as well as practice are also provided.
随着生成式人工智能（AI）技术的兴起，AI在眼科临床应用中发挥了重要作用，并且AI生成内容（AIGC）在眼科教育中显示出巨大潜力。具体而言，AIGC在教案生成、模拟病例和疾病诊断方面发挥着重要作用，但其应用也面临与患者隐私侵犯和生成内容准确性相关的挑战。为了更好地启用AIGC并促进眼科教育的发展，本文概述了AI与眼科以及AIGC在眼科教育中的应用、挑战和发展前景。还提供了相关研究以及实践的参考文献。
