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人工智能在头癌症中的应用:一个图书识别和可视化分析 (1995-2025)
Chuyi Cai1, Jingfeng Zhang1, Chunshu Pan1
1Department of Radiology , Ningbo No.2 Hospital , Zhejiang, 315010, Ningbo, China.
Discover oncology
|November 24, 2025
概括
人工智能 (AI) 正在改变头癌 (HNC) 研究,特别是通过深度学习进行图像分析. 未来的努力应侧重于跨学科的合作,以改善临床整合和患者护理.
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:
- 由于复杂的解剖学和治疗疾病,头癌 (HNCs) 存在诊断和治疗挑战.
- 人工智能 (AI) 为精确的HNC诊断和管理提供了一种新方法.
研究的目的:
- 系统地分析AI应用在HNCs的研究格局,使用文献识别方法.
- 为了确定研究趋势,协作网络,和新兴的方向在AI的HNCs.
主要方法:
- 从科学网络上对230篇关于HNC (1995-2025) 的AI相关出版物的图书统计分析.
- 使用CiteSpace和VOSviewer分析出版趋势,贡献,作者,期刊和关键词.
- 通过共同引用和突发关键词分析确定了关键研究和研究热点.
主要成果:
- 在HNC中的人工智能研究是多模式和多任务的,深度学习主导图像分析.
- 分析揭示了出版趋势,国家/机构贡献,核心作者和期刊发行情况.
- 确定了关键的里程碑研究和不断发展的研究热点.
结论:
- 在HNC中人工智能研究正在推进,深度学习对于图像分析至关重要.
- 在模型的解释性和通用性方面仍然存在挑战.
- 未来的人工智能应用需要跨学科的合作,以加强诊断,治疗和综合临床护理途径.
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