癌症瘤学中的人工智能 通过对全球趋势的影响和概念结构的综合图书法测量绘制 影响和概念结构
Rezzy Eko Caraka1,2,3,4, Khairunnisa Supardi5, Soehartati A Gondhowiardjo5
1Engineers Profession Program, Graduate School, Universitas Padjadjaran, Bandung, West Java, 45363, Indonesia.
Journal of healthcare leadership
|November 4, 2025
概括
深度学习正在通过先进的诊断和疗法彻底改变癌症瘤学. 这项研究绘制了全球AI癌症研究趋势的地图,确定了未来发展的关键主题和关键差距.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 深度学习 (Deep Learning) 是一种深度学习.
- 图书统计学 图书统计学
背景情况:
- 人工智能,特别是深度学习,显著影响癌症瘤学.
- 人工智能集成增强了诊断,个性化治疗和临床决策.
- 图书统计分析对于理解研究环境至关重要.
研究的目的:
- 执行全球癌症瘤学和深度学习研究趋势的图库测绘.
- 识别主导主题,新兴方向和智力影响.
- 发现人工智能驱动的癌症研究中的关键差距和挑战.
主要方法:
- 对19,627篇同行评审文章 (2022-2025) 的图书统计分析.
- 在RStudio.中使用了对应分析 (CA) 和多重对应分析 (MCA).
- 评估作者关键字和关键字加用于概念结构.
主要成果:
- 主要的主题包括多式联络学习和放射遗传学.
- 新兴领域:变压器模型,联合学习,可解释的AI道德.
- 关键词Plus上的MCA显示出更高的解释能力 (80.01%) 比作者关键词 (5.27%) 的CA更高.
结论:
- 研究突出了关键的人工智能应用和瘤学的未来方向.
- 确定了关键差距:低收入国家参与,数据标准化和合作.
- 为促进癌症研究中的包容性和道德性AI提供了见解.
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