传感器,信号和成像信息学:从2023年开始的最佳贡献
Leticia Rittner1, Christian Baumgartner2, Thomas M Deserno3
1Medical Imaging Computing Lab (MICLab), School of Electrical and Computer Engineering, University of Campinas, Brazil.
Yearbook of medical informatics
|April 8, 2025
概括
研究人员确定了从2023年起在传感器,信号和成像信息学 (SSII) 领域的前四篇论文. 这些发现突显了图像分析的深度学习的进步,标志着在传感器开发上转向生物信号和图像处理的转变.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 传感器,信号和成像信息学 (SSII) 的领域正在迅速发展.
- 识别关键的研究进展对于理解当前趋势和未来方向至关重要.
研究的目的:
- 识别和突出显示SSII领域中在2023年发表的最重要的研究论文.
- 确定传感器,信号和成像信息学的新兴趋势和前沿贡献.
主要方法:
- 在Scopus和PubMed上使用相关的医学主题标题 (MeSH) 术语和关键词进行了全面的文献搜索.
- 论文最初是根据标题和摘要评估使用3分利克特级别进行选,全文审查所需的最低分数为8分.
- 排名前14名的论文经过了外部审稿人和国际医学信息学协会 (IMIA) 年鉴编辑的严格评估,最终选择了四个最佳贡献.
主要成果:
- 在最初识别的643篇论文中,58篇符合纳入标准.
- 由IMIA年鉴编辑委员会批准的四篇优秀论文的最终选择.
- 选出的论文涵盖无传感器自由手3D超声波重建,基于视频的脉冲率估计,以及基于深度学习的图像处理和分析.
结论:
- 该研究强调了传感器,信号和成像信息学研究的动态性质.
- 顶级论文展示了图像处理和分析中的高级深度学习应用.
- 研究重点从传感器技术发展向生物信号和图像分析明显转变.
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