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基于人工智能的眼内透镜功率计算公式的审查

Wiktor Stopyra^1,2, David L Cooke^3,4, Andrzej Grzybowski⁵

¹MW-Med Eye Centre, 31-416 Krakow, Poland.

Journal of clinical medicine

|January 23, 2024

概括

凯恩公式在白内障手术的眼内透镜功率计算中表现出卓越的准确性,PEARL DGS也表现出强的性能. 新的公式需要进一步的研究.

科学领域:

眼科医生眼科眼科
生物医学工程生物医学工程
人工智能在医学中的应用

背景情况:

准确的眼内镜 (IOL) 功率计算对于成功的白内障手术结果至关重要.
传统的公式有局限性,推动了基于人工智能的先进方法的开发.

研究的目的:

系统地评估和比较各种基于人工智能的IOL功率计算公式的准确性.
确定最精确的AI公式,以优化白内障手术后的折射结果.

主要方法:

2017年至2023年7月期间发表的同行评审文章的系统审查.
在主要数据库 (PubMed,Google Scholar等) 进行文献搜索. 使用特定的AI公式名称和关键词.
基于平均绝对误差和±0.5 D和±1.0 D之间的折射结果百分比的25项选定的研究的分析.

主要成果:

凯恩公式始终显示了最低的平均绝对误差和目标折射误差范围内患者的最高百分比.
在大多数评估指标中,PEARL存款体系公式在准确性方面排名第二.
还确定并讨论了包含的研究的局限性.

结论:

凯恩公式成为IOL功率计算中基于AI的最准确的选项.
珍珠DGS提供高度准确的结果,使其成为一个强大的替代品.
像Hoffer QST,Karmona和Nallasamy这样的新兴公式需要额外的研究来验证它们的性能.

关键词:

人工智能的人工智能是人工智能.眼内透镜功率计算公式眼内透镜功率计算公式发泡乳化法可化这就是凯恩公式.

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