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基于先进的人工智能的江方程式,用于眼内透镜功率在先天性异眼症中
Yan Liu1,2,3, Xinyue Wang1,2,3, Linghao Song1,2,3
1Eye Institute and Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
Translational vision science & technology
|February 4, 2025
概括
一种由人工智能驱动的配方 - - 江方程式 - - 显著改善了先天性外眼镜患者的眼内透镜功率计算. 这种先进的AI模型比传统方法提供了更高的准确性,提高了手术结果.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 先天性眼内膜 (CEL) 对眼内镜 (IOL) 功率计算提出了独特的挑战.
- 在CEL患者的白内障手术后,准确的IOL功率计算对于成功的折射结果至关重要.
研究的目的:
- 开发和验证基于人工智能 (AI) 的公式,用于精确计算CEL患者的IOL功率.
- 与现有方法相比,提高IOL功率计算的准确性.
主要方法:
- 一个基于人工智能的组合公式,江式,是使用CEL的520只眼睛的训练数据集开发的.
- 采用了双层合体学习模型和五倍交叉验证.
- 江方程式在131只眼睛的单独测试组中进行了评估,并与五种经典公式进行了比较.
主要成果:
- 江式表现出优异的性能,预测误差 (PE) 最低,绝对误差 (AE),绝对误差中位数 (MedAE) 和根平均平方误差 (RMSE) 最低.
- 具体来说,江方程式的PE值为0.08 ± 1.01 D,AE值为0.77 ± 0.65 D,MedAE值为0.66 D,RMSE值为1.02 D.这些都是通过江方式的方法实现的.
- 测试组中的68.00%的眼睛使用江式实现了在1.0D以内的AE,超过了经典公式.
结论:
- 与人工智能集成的江方程式为CEL患者的IOL功率计算提供了显著的进步.
- 这种新的方法提供了更高的预测准确度和适应外科手术变化的能力.
- 江方程式有望改善外科手术的结果,并在这个专业患者群体中实现个性化治疗策略.
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