人工智能在神经语音障碍中的应用
Dongren Yao1, Aki Koivu1, Kristina Simonyan1,2
1Department of Otolaryngology-Head and Neck Surgery Massachusetts Eye and Ear and Harvard Medical School Boston Massachusetts USA.
World journal of otorhinolaryngology - head and neck surgery
|January 1, 2026
概括
人工智能 (AI) 为像帕金森病这样的神经性语音障碍提供客观的语音分析. 人工智能模型在早期检测和预测治疗反应方面表现出很高的准确性,从而改变了患者护理.
科学领域:
- 神经学 神经学
- 语音语言病理学 语音语言病理学
- 计算机科学 计算机科学
背景情况:
- 神经性语音障碍显著损害了沟通.
- 传统的诊断是主观的;人工智能提供客观的,可扩展的解决方案.
- 人工智能增强了语音分析,用于诊断,监测和治疗.
研究的目的:
- 审查神经语音障碍中的AI应用.
- 检查人工智能驱动语音分析的进展,挑战和未来.
- 评估AI在检测和管理这些条件方面的有效性.
主要方法:
- 对基于人工智能的语音分析最新文献的分析.
- 专注于机器学习,深度学习和信号处理技术.
- 使用现有研究评估人工智能模型的有效性.
主要成果:
- 人工智能模型在检测语音障碍方面表现出高准确度.
- 人工智能使早期诊断和预测治疗反应成为可能.
- 深度学习方法擅长从语音数据中提取生物标志物.
结论:
- 人工智能显示出早期检测和管理的巨大潜力.
- 挑战包括数据限制,隐私和临床验证.
- 未来的研究应该专注于标准化数据集和模型通用性.
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