在医疗事物互联网中对人工智能的图书识别分析:绘制和性能分析分析
Haruna Chiroma1, Ibrahim Abaker Targio Hashem2, Mohammed Maray3
1College of Computer Science and Engineering, University of Hafr Al Batin, Hafar Al Batin, Saudi Arabia.
Frontiers in artificial intelligence
|August 27, 2024
概括
这项研究为医疗物联网 (IoMT) 中的人工智能 (AI) 提供了第一个文献分析. 关键发现显示,安全和隐私问题阻碍了IoMT的采用,突出了未来人工智能研究的领域.
科学领域:
- 计算机科学 计算机科学
- 医疗信息学 医疗信息学
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 物联网 (IoT) 已经演变为医疗物联网 (IoMT),通过连接的医疗设备改变了医疗保健的提供.
- 人工智能 (AI) 越来越多地集成到 IoMT 中,以增强其功能和应用.
- 在专注于AI和IoMT交叉的文献分析中存在一个显著的差距.
研究的目的:
- 在IoMT中对AI应用的研究进行全面的文献分析.
- 为IoMT识别AI的关键趋势,有影响力的来源,国家,作者和新兴话题.
- 绘制AI在IoMT的结构发展和研究格局的地图.
主要方法:
- 学术文献的图书法分析. 学术文献的图书法分析.
- 检查出版的来源,学科,国家和作者.
- 分析引用模式,作者关键字和辅助关键字,以确定趋势主题.
主要成果:
- 人工智能在IoMT的结构性发展证明了研究受欢迎程度的增加.
- 安全和隐私问题被认为是 IoMT 广泛采用的主要障碍.
- 分析揭示了关键的研究集群和该领域有影响力的贡献者.
结论:
- 本研究提供了IoMT中AI的基础文献统计概述.
- 解决安全和隐私问题对于推进IoMT至关重要.
- 未来的研究应该探索先进的AI概念,如AGI,GenAI和XAI用于IoMT应用.
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