在使用多维结果数据植入Vibrant Soundbridge后,基于大型语言模型的语音可理解性预测:前性研究的第二部分
Christoph Müller1, Hannes Seidler2, Anna Tsypina3
1Department of Otorhinolaryngology, Head and Neck Surgery, Ear Research Center Dresden, TU Dresden, Medical Faculty and University Hospital Carl Gustav Carus, Dresden, Germany. christoph.mueller@uniklinikum-dresden.de.
Scientific reports
|November 12, 2025
概括
这项研究开发了一种预测模型,用于在Vibrant Soundbridge (VSB) 植入后的语音可理解性. 该模型使用年龄,骨传导值和术前语音分数来估计听力损失患者的术后结果.
科学领域:
- 听力学 听力学是指听力学.
- 生物医学工程 生物医学工程
- 医疗器械技术 医疗器械技术
背景情况:
- 像Vibrant Soundbridge (VSB) 这样的活跃中耳植入物 (AMEI) 在传统方法失败时治疗听力损失.
- 术后语音可理解性结果存在很高的变化,需要更好的预测工具.
研究的目的:
- 在VSB接受者中开发术后语音可理解性 (WRS65dB) 的预测模型.
- 确定影响语音理解结果的关键临床参数.
主要方法:
- 分析了接受VSB植入的20名患者的数据.
- 利用斯皮尔曼的相关性来评估变量之间的关系.
- 开发了一种包含年龄,骨传导值 (BCPTA4) 和手术前语音可理解性 (WRSmax) 的西格形变换线性回归模型.
主要成果:
- 最终的模型,包括BCPTA4,WRSmax和年龄,解释了WRS65dB中51%的差异 (R2=0.51).
- 在WRS65dB和BCPTA4,WRSmax和年龄之间发现了显著的相关性.
- 该模型表现出良好的性能,RMSE=6.18和MAE=4.67.
结论:
- 开发了一种新的,透明的,临床上适用的模型来预测VSB结果.
- 这种工具可以帮助在手术前咨询和患者选择VSB.
- 建议在更大的多中心研究中进一步验证,以确保可概括性.
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