多模态人工智能在老年认知功能障碍评估中的应用

doi:10.3969/j.issn.1003-9198.2025.11.005

Abstract

Abstract: The social issues arising from global population aging are becoming increasingly severe, and cognitive dysfunction in the elderly has emerged as one of the most pressing challenges for healthcare and social security systems. Artificial intelligence (AI) technology, leveraging multimodal data fusion, can integrate various information sources such as images, speech, and physiological signals to conduct dynamic monitoring of cognitive function status in the elderly, identify early risks of cognitive dysfunction, and provide effective clinical diagnostic and therapeutic support for patients with cognitive dysfunction, thereby alleviating the pressure caused by shortages in medical resources. This paper reviews the latest research progress, which analyzes the key technologies and clinical value of multimodal AI in the assessment of cognitive dysfunction in the elderly, and explores its future development directions, thereby providing new insights and approaches for the health management of cognitive function in the elderly.

Key words: artificial intelligence, cognitive impairment, convolutional neural networks, natural language processing

CLC Number:

YANG Jiahui, TAO Xinyu, QU Chen. Application of multimodal artificial intelligence in the assessment of cognitive impairment in the elderly[J]. Practical Geriatrics, 2025, 39(11): 1098-1101.

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Application of multimodal artificial intelligence in the assessment of cognitive impairment in the elderly

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