四川大学学报（医学版）2026，Vol.57Issue(4)：966-973,8.DOI:10.12182/20260760501
人工智能与长寿医学交叉研究:全球格局、合作网络与前沿趋势(2010-2025)
Interdisciplinary Research on Artificial Intelligence and Longevity Medicine:Global Landscape,Collaboration Networks,and Frontier Trends(2010-2025)
黄心言 1谭建淑 1曹叔琴 1狄隆康 1康伦维 1朱卓立 2廖玍1
作者信息
- 1. 口腔疾病防治全国重点实验室 国家口腔医学中心 口腔疾病国家临床医学研究中心 四川大学华西口腔医院 (成都 610041)
- 2. 口腔疾病防治全国重点实验室 国家口腔医学中心 口腔疾病国家临床医学研究中心 四川大学华西口腔医院老年口腔科 (成都 610041)
- 折叠
摘要
Abstract
Objective With the expansion of theories concerning aging and the rapid evolution of artificial intelligence(AI)methodologies,the integration of AI and longevity medicine has emerged as a critical pathway for extending human healthspan.This study is aimed at a systematic characterization of the research landscape,collaboration networks,and frontier trends in this interdisciplinary field,so as to inform clinical translation and the development of the health management industry.Methods The Web of Science Core Collection,including Science Citation Index Expanded(SCIE)and Social Sciences Citation Index(SSCI),was used as the data source.English-language publications in the interdisciplinary field of AI and longevity medicine between 2010 and 2025 were systematically retrieved,and 4 170 valid records were included for a joint analysis using Bibliometrix and CiteSpace 7.0.Results Annual publication output showed exponential growth.The global research landscape exhibited a China-US dual-core and a multipolar pattern,with institutional collaborations clustering into 3 major networks spanning Asia-Europe,the United States,and Continental Europe.Research topics were clustered into five major themes—the core concepts of aging and multimorbidity,AI-driven body composition and musculoskeletal assessment,deep-learning-based evaluation of brain aging through neuroimaging,wearable sensing and mobile health,and digital phenotyping and mental health.Marked differences in research priorities were observed among the three leading contributors,including China,the United States,and the United Kingdom.China demonstrated broad research coverage and clinically oriented multi-track development,the United States led in methodological innovation and digital phenotyping,and the United Kingdom concentrated on brain age research.Conclusions This study systematically delineates the research landscape,collaboration networks,and frontier trajectories in the interdisciplinary field of AI and longevity medicine,providing data-driven evidence and decision-making support for advancing clinical translation and the development of the health management industry in this field.关键词
人工智能/长寿医学/老年科学/衰老生物标志物/脑龄/数字表型/CiteSpaceKey words
Artificial intelligence/Longevity medicine/Geroscience/Aging biomarkers/Brain age/Digital phenotyping/CiteSpace引用本文复制引用
黄心言,谭建淑,曹叔琴,狄隆康,康伦维,朱卓立,廖玍..人工智能与长寿医学交叉研究:全球格局、合作网络与前沿趋势(2010-2025)[J].四川大学学报（医学版）,2026,57(4):966-973,8.
