计算机辅助诊断在新千年中的机遇和挑战:从2000年到2023年的图书统计分析
Di Wu1,2,3, Jiachun Ni4, Wenbin Fan2,3
1Department of Proctology, Yongchuan Hospital of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Medicine
|December 22, 2023
概括
本文献计量研究分析了2000年至2023年的计算机辅助诊断 (CAD) 研究. 它确定了主要贡献者,新兴趋势和扩大CAD应用用于疾病诊断的挑战.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 圣经计量学和科学计量学
背景情况:
- 计算机辅助诊断 (CAD) 是一个快速发展的领域,应用范围不断扩大.
- 图书统计学研究对于理解研究趋势至关重要,但在CAD方面缺乏.
- 本研究解决了对CAD研究进行全面的文献计量分析的需求.
研究的目的:
- 从2000年到2023年,探索计算机辅助诊断 (CAD) 的研究热点和前沿.
- 为CAD领域的研究人员提供参考资料.
- 确定CAD研究中的关键趋势和发展.
主要方法:
- 从科学网络数据库 (2000-2023) 中对13970篇出版物的图书法分析.
- 使用VOSviewer和CiteSpace进行国家,机构,作者,期刊,参考文献和关键词的视觉分析.
- 采用关键词爆发分析来确定CAD研究中的当前趋势和未来方向.
主要成果:
- 在CAD的年度出版物中显著增加的趋势.
- 美国和中国是主要的贡献者,美国主导研究.
- 关键的机构包括芝加哥大学,多产的作者是阿查利亚UR,B和陈HP.
- 医学成像的IEEE交易是主要的期刊.
- 新兴的计算机技术和应用在乳腺,肺部和大脑疾病中的应用很突出.
结论:
- 扩大CAD诊断的疾病范围是未来的研究方向.
- 解决缺少大型数据集的问题和建立通用评估标准对于CAD开发至关重要.
- 该研究为CAD研究的当前景观和未来轨迹提供了宝贵的见解.
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