人工智能在阿尔茨海默病临床诊疗中的研究热点及前沿趋势分析

The Hotspots and Frontier Trends of Artificial Intelligence in the Clinical Diagnosis and Treatment of Alzheimer's Disease:Bibliometric Analysis of the Past 20 Years

背景目前,人工智能应用于阿尔茨海默病(AD)领域的研究论文数量增幅较大,明确该领域最新研究热点和未来发展趋势十分重要。目的通过应用文献计量学分析,总结人工智能应用于AD领域的相关研究,阐明2004-2023年的研究热点和未来研究趋势。方法在Web of Science核心数据库中检索了2004年1月-2023年6月关于人工智能应用于AD领域的文献。采用Microsoft Office Excel、CiteSpace和VOSviewer软件对发文量、国家、作者、机构、关键词和共引网络进行可视化分析。结果最终纳入了3189篇文献。自2004年以来有关人工智能应用于AD领域的文献数量稳步增加,并从2015年起进入快速增长阶段,最高突破600篇。共有94个国家、3930家机构、13563位作者以及52019位被引作者参与了此研究。其中,美国和中国在这一领域中处于领先地位;韩国大学发文量位列第一;此外,ZHANG DAOQIANG、LIU MINGXIA、SUK HEUNG-IL和CLIFFFORD R.JACK Jr不仅是高产的作者还是被引次数最多的作者。根据关键词和文献被引结果的可视化分析,发现AD的诊断与病程分类、预测AD的风险因素是当前的研究热点,任务分析是未来人工智能应用于AD领域中的研究趋势。结论人工智能应用于AD领域已经引起了全球研究者的广泛关注,AD的诊断与病程分类、预测AD的风险因素是当前的研究热点,而任务分析中的辅助药物的研发、个性化治疗和护理以及提升人工智能的算法性能可能会成为未来的研究趋势。

Background Currently,the number of research papers on the application of artificial intelligence to the field of Alzheimer's disease(AD)has increased significantly.It is important to clarify the latest research hotspots and future development trends in this field.Objective To summarize the relevant research on the application of artificial intelligence to AD through bibliometric analysis,and clarify the research hotspots and trends from 2004 to 2023.Methods Literature on the application of artificial intelligence to AD from January 2004 to June 2023 was searched for in the Web of Science core database,and Microsoft Office Excel,CiteSpace,and VOSviewer software were used to visually analyze the number of publications,countries,authors,institutions,keywords,and co-citation networks of the literature.Results Ultimately 3189 articles were included.The number of literature on the application of artificial intelligence to AD has steadily increased since 2004 and has grown rapidly since 2015,with a maximum of over 600 articles.A total of 94 countries,3930 institutions,13563 authors,and 52019 cited authors participated in this study.Among them,the United States and China were in a leading position in this field;Republic of Korea universities ranked first in terms of the number of publications;In addition,ZHANG DAOQIANG,LIU MINGXIA,SUK HEUNG-IL,and CLIFFORD R.JACK Jr were not only prolific authors but also the authors with the most citations.The visualization analysis of keywords and literature citations revealed that regarding the application of artificial intelligence to AD,the diagnosis and disease course classification of AD,as well as the prediction of its risk factors,are current research hotspots and that task analysis are future research trends.Conclusion The application of artificial intelligence to AD has attracted widespread attention from researchers worldwide.The diagnosis and classification of AD,as well as the prediction of its risk factors,are current research hotspots.Developing adjunctive drugs in task analysis,personalized treatment and care,and improving the algorithm performance of artificial intelligence may be research trends in the future.