{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T14:34:00Z","timestamp":1786113240467,"version":"build-2736575974"},"reference-count":67,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Objectives<\/jats:title>\n                    <jats:p>Population aging and the rising prevalence of Alzheimer\u2019s disease and related dementias (AD\/ADRD) have created an urgent need for innovative care solutions. Artificial intelligence (AI) has emerged as a critical tool, yet a macro-level quantitative analysis of its evolutionary trajectory in geriatric care remains scarce. This study conducts a comprehensive bibliometric analysis to map the knowledge domain of AI-empowered geriatric care for AD\/ADRD from 2004 to 2025, elucidating spatial distributions, evolutionary trajectories, and emerging research frontiers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Research Design and Methods<\/jats:title>\n                    <jats:p>A total of 1,197 eligible records were retrieved from the Web of Science Core Collection. Bibliometric analyses including co-occurrence networks, burst detection, and thematic evolution were conducted utilizing CiteSpace, VOSviewer, and the Bibliometrix R package.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The 1,197 documents (402 sources; 7,268 authors) show an annual growth rate of 30.36%, peaking at 262 publications in 2025. The United States (242 articles; 6,640 citations) and China (213 articles; 3,649 citations) dominate global output, with Harvard University and the University of London as primary hubs, though the Global South remains underrepresented. Thematic evolution reveals three phases: early \u201csmart homes\u201d and \u201cactivity detection\u201d; middle \u201chome monitoring\u201d and \u201csocial robots\u201d; and a current frontier of \u201cexplainable AI\u201d and biomarker-driven risk assessment. Keyword bursts confirm \u201ctau\u201d and \u201cintervention\u201d as leading hotspots to 2025.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion and Implications<\/jats:title>\n                    <jats:p>AI in AD\/ADRD care is transitioning from environmental assistance to neuro-precision diagnostics and therapeutics. Future research should integrate ethical, multimodal AI to bridge care gaps and facilitate high-quality aging-in-place.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/geront\/gnag135","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T15:52:33Z","timestamp":1781538753000},"source":"Crossref","is-referenced-by-count":0,"title":["From ambient assistance to data-driven precision in AI-enabled Alzheimer\u2019s care (2004\u20132025): a bibliometric perspective"],"prefix":"10.1093","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0456-6717","authenticated-orcid":false,"given":"Bingnan","family":"Du","sequence":"first","affiliation":[{"name":"School of Health Management, China Medical University , Shenyang, Liaoning Province, 110122,","place":["P.R. China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6600-6339","authenticated-orcid":false,"given":"Qi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Health Management, China Medical University , Shenyang, Liaoning Province, 110122,","place":["P.R. China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xueying","family":"Li","sequence":"additional","affiliation":[{"name":"School of Health Management, China Medical University , Shenyang, Liaoning Province, 110122,","place":["P.R. China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5456-8730","authenticated-orcid":false,"given":"Xiaoxi","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Health Management, China Medical University , Shenyang, Liaoning Province, 110122,","place":["P.R. 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China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4157-8023","authenticated-orcid":false,"given":"Hui","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Health Management, China Medical University , Shenyang, Liaoning Province, 110122,","place":["P.R. China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"2026080514233332400_gnag135-B1","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.jalz.2016.03.001","article-title":"2016 Alzheimer\u2019s disease facts and figures. 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