头癌的人工智能:对研究环境,新兴趋势和挑战进行文献计量分析
Shufang Liu1,2, Jingdan Zhang1,2, Ziye Tan2
1Hunan Cancer Hospital / The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Frontiers in oncology
|September 17, 2025
概括
人工智能 (AI) 正在改变头癌症研究. 本文库分析绘制了人工智能应用的地图,揭示了诸如自动诊断和可解释人工智能等关键趋势,以改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 头部和部癌症是全球普遍存在且具有攻击性的恶性瘤.
- 它在治疗,转移和复发方面存在挑战.
- 人工智能 (AI) 为推进头癌症管理提供了巨大的潜力.
研究的目的:
- 在头癌研究中对人工智能应用进行文献计量分析.
- 自1995年以来,确定知识结构,研究热点和新兴趋势.
主要方法:
- 在 Web of Science 上进行全面的文献搜索.
- 使用CiteSpace,ArcGIS和VOSviewer进行图书统计分析.
- 对出版物,作者,机构和关键词的分析.
主要成果:
- 分析了来自55个国家的362篇论文,其中中国处于领先地位.
- 确定了主要的作者,机构和期刊.
- 新兴趋势包括自动诊断,可解释的人工智能和人工智能指南.
结论:
- 这项研究提供了AI在头癌症研究中的定量概述.
- 它强调了当前的景观和未来的研究方向.
- 洞察力指导在这个快速发展的领域的未来研究.
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