对宫癌人工智能研究的定量分析:使用CiteSpace和VOSviewer的文献计量方法
Ziqi Zhao1, Boqian Hu2, Kun Xu1
1School of Basic Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Frontiers in oncology
|September 19, 2024
概括
人工智能 (AI) 越来越多地被用于宫癌研究,机器学习和深度学习推动了诊断和治疗的进步. 国际合作是进一步进步这个不断增长的领域的关键.
科学领域:
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
- 人工智能的人工智能
背景情况:
- 在全球范围内,宫癌的发病率正在上升,特别是在年轻女性中.
- 人工智能 (AI) 在医学研究中的整合正在扩大.
- 人工智能在推进子宫癌研究方面表现有前途.
研究的目的:
- 评估人工智能在宫癌研究中的作用.
- 确定研究趋势和未来方向.
- 分析关于人工智能和宫癌的文献数据.
主要方法:
- 从Web of Science核心收藏中系统地检索文献.
- 使用VOSviewer和CiteSpace.Space进行文献计量分析.
- 关键词同时出现和突发排名分析.
主要成果:
- 分析了来自81个地区的5299名作者撰写的927篇文章 (2008-2024年).
- 中国,美国和印度是最大的贡献者;确定了关键机构.
- 主要的关键词:"宫癌"",深度学习"",机器学习"",分类".
结论:
- 宫癌研究中的AI应用正在增长.
- 深度学习和机器学习对于诊断和治疗至关重要.
- 建议加强国际合作,以最大限度地发挥AI的潜力.
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