摘 要：
目的：随着失智症患者数量增多，家庭照护成为重要支撑，但家庭照护者却面临照护压力大、决策不科学等难题。本研究旨在基于文献计量，系统探究人工智能在失智症家庭照护领域的研究热点主题与时间演化趋势，为该领域的理论发展与实践应用提供方向指引。方法：研究以Web of Science数据库为文献来源，筛选出782篇相关领域文献作为分析样本。运用Citespace6.2.R1软件开展文献计量分析，通过发文趋势统计、关键词共现分析、聚类分析等技术，挖掘文献背后的研究关联与发展脉络。结果:分析结果显示，人工智能在失智症家庭照护领域的应用价值集中于三大核心方向：一是辅助家庭照护者进行照护负担管理，缓解其情绪压力与任务负荷；二是通过病情监测数据支持，帮助照护者改善照护决策的科学性；三是结合患者个体情况，为照护者提供个性化、针对性的照护操作建议。结论：本研究明确了人工智能在失智症家庭照护领域的核心应用场景与研究重点，为人工智能技术在该领域的有效落地使用提供了量化数据支撑与理论参考，也为后续相关研究的开展与实践项目的推进奠定了基础。
关键词：
Abstract:
Objectives: With the increasing number of individuals with dementia, family caregiving has become a crucial support. However, family caregivers often face significant challenges, including high caregiving pressure and unscientific decision-making. This study aims to systematically explore the research hotspots and temporal evolution trends of artificial intelligence in the field of dementia family caregiving based on bibliometrics, providing direction for theoretical development and practical application in this area. Methods: The Web of Science database served as the literature source, from which 782 relevant articles were screened as the analysis sample. Bibliometric analysis was conducted using Citespace 6.2.R1 software. Techniques such as publication trend statistics, keyword co-occurrence analysis, and cluster analysis were employed to uncover the research connections and development context behind the literature.Results: The analysis reveals that the application value of artificial intelligence in dementia family caregiving focuses on three core areas: firstly, assisting family caregivers in managing care burden to alleviate their emotional stress and task load; secondly, supporting caregivers with disease monitoring data to improve the scientific nature of care decisions; and thirdly, providing caregivers with personalized and targeted care operation suggestions based on individual patient conditions. Conclusion: This study clarifies the core application scenarios and research priorities of artificial intelligence in dementia family caregiving. It provides quantitative data support and theoretical reference for the effective implementation of AI technology in this field and lays a foundation for subsequent related research and the advancement of practical projects.
Keywords: Artificial intelligence；Dementia；Family caregiving；Bibliometrics
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