评估非洲在开发支持人工智能的心电图装置方面的地位
Hamza Ameziane1,2, Yassine Zahidi2, Mohamed El-Moufid2
1Laboratory of Complex Cyber Physical Systems (LCCPS), Hassan II University of Casablanca National School of Arts and Crafts, Casablanca, Grand Casablanca, Morocco.
F1000Research
|November 17, 2025
概括
电心电图 (ECG) 设备中的人工智能 (AI) 正在迅速发展,特别是自COVID-19大流行以来. 然而,来自非洲的研究贡献显著不足,需要更大的全球包容性.
科学领域:
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
- 心脏病学 心脏病学
背景情况:
- 人工智能 (AI) 集成到心电图 (ECG) 设备中是一个关键的研究领域,由COVID-19大流行加速.
- 基于人工智能的心电图技术对于改善心脏诊断和患者监测至关重要.
研究的目的:
- 评估当前的趋势,关键贡献者和协作网络在AI增强的ECG设备研究.
- 确定该领域的研究缺口和地理差异.
主要方法:
- 在Scopus数据库数据中使用Biblioshiny (Bibliometrix) 进行图书统计分析.
- 使用VOSViewer进行网络可视化和映射,以分析关系和发展.
主要成果:
- 关于人工智能增强型心电图设备的出版物显著增加,在COVID-19大流行期间出现了显著的激增.
- 地理研究贡献的显著差异,非洲研究人员的代表性不足.
- 确定了基础设施和财务限制,以及有限的协作网络是非洲研究缺口的原因.
结论:
- 人工智能在ECG设备中的快速增长需要更具包容性的全球研究实践.
- 有必要促进来自代表性不足的地区,特别是非洲,对不同观点的贡献.
- 加强对非洲研究人员的支持对于弥合研究差距和促进全球健康公平至关重要.
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