人工智能在阿尔茨海默氏症诊断中的应用:一个图书统计分析
Xiaoqiong An1, Jun He1,2, Bin Bi3
1Department of Laboratory Medicine, The Second People's Hospital of Guizhou Province, Guiyang, China.
Frontiers in neurology
|December 20, 2024
概括
人工智能 (AI) 对阿尔茨海默病 (AD) 研究越来越重要,为改善早期诊断和跟踪疾病进展提供了新的途径. 这项分析强调了人工智能在应对这种神经退行性疾病方面的日益重要的作用.
科学领域:
- 神经科学是一个神经科学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 阿尔茨海默氏症 (AD) 是一个日益严重的全球健康挑战,特别是在老年人群中.
- 目前对阿尔茨海默病的诊断和治疗方法在早期发现和有效管理方面存在重大局限性.
- 阿尔茨海默病的流行率不断上升,需要创新的诊断和治疗解决方案.
研究的目的:
- 进行对人工智能 (AI) 在阿尔茨海默病中的应用研究的文献分析.
- 探索AI在早期诊断和AD进展监测中的作用.
- 确定AI驱动的AD研究中的关键趋势,贡献者和有影响力的出版物.
主要方法:
- 科学网络核心集合的系统文献搜索.
- 对530篇关于AI和AD的出版物的图书统计分析.
- 对出版趋势,主要国家,机构和期刊的分析.
主要成果:
- 人工智能和AD出版物的显著增加,特别是在2019-2024年之间.
- 美国和中国是主要的贡献者,哈佛大学和印第安纳大学系统是著名的机构.
- "阿尔茨海默病杂志"是这项研究最有影响力的出版媒体.
结论:
- 人工智能是阿尔茨海默病研究中的一个快速增长和相关领域.
- 国际合作和学术机构是AI在AD研究中的关键驱动力.
- 未来的研究应该专注于利用人工智能提高诊断准确性和新的治疗策略.
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