Mapping knowledge landscapes and emerging trends in digital biomarkers for dementia in older adults: A scoping and bibliometric analysis

Azliyana Azizan , Shihua Cao , Akehsan Dahlan , Susi Endrini
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Abstract

This paper presents a systematic bibliometric analysis of the research landscape at the intersection of Alzheimer's disease and gerontechnology, identifying key contributors, research hotspots, and emerging trends. Utilizing data from Scopus and Web of Science, the study applies tools such as VOSviewer and ScientoPy to analyze co-authorship networks, keyword occurrences, and citation trends. The results reveal growing contributions from global regions, particularly the U.S., Italy, and China, with increasing emphasis on assistive technologies and artificial intelligence for early diagnosis. However, significant gaps exist, especially in studies addressing long-term effectiveness and inclusivity across demographic groups. This landscape analysis provides crucial insights to guide future research on integrating technology into Alzheimer's care, underscoring the importance of a patient-centered approach for sustainable solutions.
绘制老年人痴呆数字生物标志物的知识版图和新趋势:范围和文献计量学分析
本文对阿尔茨海默病和老年科技交叉领域的研究现状进行了系统的文献计量分析,确定了关键贡献者、研究热点和新兴趋势。利用来自Scopus和Web of Science的数据,该研究应用VOSviewer和ScientoPy等工具来分析合作作者网络、关键词出现情况和引用趋势。研究结果显示,全球各地区,特别是美国、意大利和中国的贡献越来越大,越来越重视早期诊断的辅助技术和人工智能。然而,存在重大差距,特别是在针对人口群体的长期有效性和包容性的研究中。这一景观分析为指导未来将技术融入阿尔茨海默病护理的研究提供了重要见解,强调了以患者为中心的可持续解决方案的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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