Abstract：
Artificial Intelligence (AI) has become a focus of research in the rapidly evolving field of ophthalmology. Nevertheless, there is a lack of systematic studies on the health economics of AI in this field. We examine studies from the PubMed, Google Scholar, and Web of Science databases that employed quantitative analysis, retrieved up to July 2023. Most of the studies indicate that AI leads to cost savings and improved efficiency in ophthalmology. On the other hand, some studies suggest that using AI in healthcare may raise costs for patients, especially when taking into account factors such as labor costs, infrastructure, and patient adherence. Future research should cover a wider range of ophthalmic diseases beyond common eye conditions. Moreover, conducting extensive health economic research, designed to collect data relevant to its own context, is imperative.
摘要：
人工智能（AI）已成为快速发展的眼科领域的研究重点。然而，该领域缺乏对人工智能健康经济学的系统研究。这篇综述考察了来自PubMed的研究，谷歌学者，和采用定量分析的Web数据库，直到2023年7月。大多数研究表明，人工智能可以节省成本并提高眼科效率。另一方面,一些研究表明，在医疗保健中使用人工智能可能会增加患者的成本，特别是考虑到劳动力成本等因素时，基础设施,和患者的依从性。未来的研究应该涵盖更广泛的眼科疾病，而不是常见的眼部疾病。此外，开展广泛的卫生经济研究，旨在收集与其自身环境相关的数据，对于中国来说，促进人工智能在国内的临床实施是当务之急。
