文章详情

摘要

该研究通过文献计量分析，探讨人工智能在阿尔茨海默病研究中的发展趋势和应用热点。基于Web of Science核心数据库，检索了2013—2023年间的3 680篇相关文献，利用CiteSpace软件进行共现分析与关键词聚类，分析了发文趋势、国家和机构的合作情况、核心作者及共被引文献等。研究结果表明，人工智能在阿尔茨海默病领域的应用主要集中在影像数据分析与早期诊断、多模态数据融合以及脑网络功能连接三个方向。同时，任务分析和迁移学习作为新兴热点，显示了人工智能在个体化诊断和长期病情管理中的潜力。从结果分析可知，人工智能在阿尔茨海默病诊断与治疗中的应用正处于快速发展阶段，未来研究将聚焦于算法的泛化能力提升和多模态数据处理能力，以提供更加精准的诊断和个体化治疗方案。

关键词

阿尔茨海默病；可视化分析；多模态数据融合；神经网络；机器学习

参考文献

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基金项目

2024年广东省医学科研基金项目（A2024637）；2023年广东省高等职业教育教学质量与教学改革工程项目（2023JG167）；广东省高校省级平台科研项目（2023KTSCX279）

作者简介

赖胜圣（1982—），男，汉族，广东信宜人，讲师，硕士，研究方向：医学图像处理及人工智能；通信作者：陈灿洋（2004—），男，汉族，广东深圳人，本科在读，研究方向：医学图像处理及人工智能。