乳房超声波中的人工智能:研究进展的系统审查
Jiawei Liu1,2, Linping Pian1, Jie Chen1
1The First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou, China.
Frontiers in oncology
|October 16, 2025
概括
与乳腺超声波集成的人工智能 (AI) 显示出改善癌症诊断的前景. 研究正在迅速推进,深度学习成为一个关键重点,尽管国际合作需要加强.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 乳腺癌的诊断严重依赖于成像技术.
- 整合人工智能 (AI) 与超声波提供了提高精度的潜力.
- 图书统计分析为研究趋势和在该领域的合作提供了洞察力.
研究的目的:
- 总结人工智能集成的乳腺癌超声波的研究进展,使用图书识别可视化.
- 确定研究热点,发展趋势和国际合作模式.
- 为临床诊断和治疗决策提供参考资料.
主要方法:
- 从科学网络核心集合 (2004-2025) 中对1876篇文章进行了图书统计分析.
- 使用VOSviewer,CiteSpace和微软Excel进行视觉分析.
- 审查的出版物量,国家/机构合作,作者网络,关键词和共同引用关系.
主要成果:
- 年度出版物显示了逐步增加的情况.
- 美国在学术影响力方面处于领先地位.
- 关键的研究热点包括"深度学习"",乳房超声波"和"机器学习",其中"深度学习"作为一个突出的新兴主题.
- 放射学是最被引用的期刊.
结论:
- 人工智能与超声波的整合有可能提高乳腺癌诊断的准确性.
- 全球研究显示区域差异,需要加强国际合作.
- 未来的努力应集中在优化深度学习,利用大数据和应对技术挑战上.
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