关于人工智能在乳腺癌诊断中的应用研究的文献分析
Bengünur Ekinci1, Hakan Tekedere2
1Instıtute of Informatıcs, Health İnformatics, Gazi University, Ankara, Türkiye.
概括
本文献分析显示,自2019年以来,人工智能 (AI) 用于乳腺癌诊断的研究激增. 主要主题包括深度学习,机器学习和放射学,
科学领域:
- 医疗信息学
- 计算机科学
- 癌症学
背景情况:
- 人工智能 (AI) 在提高乳腺癌诊断方面显得有前途.
- 图书统计分析提供了关于研究趋势和合作的见解.
研究的目的:
- 分析人工智能用于乳腺癌诊断的时间和地理趋势.
- 确定关键的研究主题,有影响力的研究,以及该领域的新兴方向.
主要方法:
- 来自科学网络的1537篇文章的图书统计分析 (2013-2024年).
- 使用VOSviewer和Bibliometrix R进行数据分析.
- 研究了出版趋势,国家生产力,引用数量和关键词的同时出现.
主要成果:
- 研究活动在2019年显著增加.
- 主题包括组织病理学,特征选择,深度学习和机器学习.
- 印度是最具生产力的国家,
- 转移学习,CNN和放射学等关键词越来越多地被使用.
- 贝诺迪的2017年研究是最有影响力的.
结论:
- 人工智能诊断乳腺癌的领域正在迅速发展.
- 图书识别分析为未来的研究和技术创新提供了路线图.
- 确定了研究人员专注于提高诊断能力的关键领域.
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