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老年人智慧医疗领域语音生物标记物应用研究
韩舒羽, 王文霞, 杨宇帆, 王小萌, 张雯敏, 单锶楷, 陈思烨, 王志稳
中国工程科学 ›› 2024, Vol. 26 ›› Issue (6) : 56-64.
PDF(657 KB)
PDF(657 KB)
老年人智慧医疗领域语音生物标记物应用研究
Application of Vocal Biomarkers in the Field of Intelligent Medical Care for Older Adults
在我国人口老龄化形势严峻、老年人健康问题具有普遍性和复杂性的情况下，应用人工智能技术推动老年人智慧医疗领域发展成为重要趋势。本文聚焦语音生物标记物在老年人智慧医疗领域中的应用和发展问题，系统梳理了语音生物标记物在医疗领域中的典型应用、国际上对语音生物标记物发展的支持情况和我国语音生物标记物研究与应用面临的挑战，总结了老年人智慧医疗领域语音生物标记物的6个重点研究方向，包括明确并构建老年人语音生物标记物指标体系、研发语音生物标记物设备和工具并制定相关研究规范、深化老年人语音特征和语音生物标记物关联健康结局机制的基础研究、加强语音生物标记物相关健康变量预测模型的研究、推动语音生物标记物辅助疾病诊断和临床决策的研究与应用、建立语音生物标记物大型人群队列及数据平台。研究建议，鼓励语音生物标记物相关法律研究及行业标准制定，注重跨学科人才队伍建设，在保障数据安全的前提下推进数据共享，优化语音生物标记物大型人群队列及数据平台的管理，以促进老年人智慧医疗领域语音生物标记物的技术探索、应用研究和产业升级。
Under the circumstances of severe population aging as well as prevalent and complex health problems among older adults, applying artificial intelligence technologies to promote the development of intelligent medical care for older adults has become a significant trend. This study focuses on the application of vocal biomarkers in intelligent medical care for older adults. It summarizes the typical applications of vocal biomarkers in medical care, international development support for vocal biomarker application, and challenges faced by the research and application of vocal biomarkers in China. It also proposes key research directions for vocal biomarkers in the field of intelligent medical care, including (1) clarifying and establishing an indicator system for vocal biomarkers of older adult; (2) developing equipment and tools for vocal biomarkers and formulating relevant research standards; (3) deepening basic research on the mechanisms by which vocal characteristics and vocal biomarkers are associated with health outcomes of older adults; (4) strengthening research on prediction models of health outcomes related to vocal biomarkers; (5) promoting the research and application of vocal biomarkers in assisting disease diagnosis and clinical decision-making; and (6) establishing a large population cohort and data platform for vocal biomarkers. Furthermore, the following development recommendations are proposed: (1) encouraging legal research and industry standards formulation related to vocal biomarkers, (2) focusing on the construction of interdisciplinary teams, (3) promoting data sharing while ensuring data security, and (4) optimizing the management of the large population cohort and data platform for vocal biomarkers. This study is expected to provide a basic reference for the technology exploration, application research, and industrial upgrading of vocal biomarkers in the field of intelligent medical care for older adults.
人口老龄化 / 智慧医疗 / 健康管理 / 语音生物标记物 / 跨学科融合
aging population / intelligent medical care / health management / vocal biomarker / interdisciplinary integration
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