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研究趋势和热点在过去10年中,人工智能对胆管癌的演变:一个图书识别分析
Ke-Xie Wang1, Yu-Ting Li1, Sun-Hu Yang1
1Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Frontiers in oncology
|February 28, 2025
概括
人工智能 (AI) 越来越多地应用于胆管癌 (CCA) 研究,将重点转移到早期诊断和治疗. 未来的应用将整合人工智能用于诊断,转移风险和复发预测.
科学领域:
- 图书识别和科学识别技术
- 医疗信息学医学信息学
- 在瘤学瘤学.
背景情况:
- 胆管癌 (CCA) 研究已经出现了显著的进化.
- 早期的研究重点是传统的CCA治疗和护理.
- 自2019年以来,在CCA中发生了明显的转向人工智能 (AI) 应用的转变.
研究的目的:
- 使用可视化分析研究热点和AI在胆管癌 (CCA) 的潜力.
- 在人工智能驱动的CCA研究中确定关键趋势和协作网络.
主要方法:
- 在CCA中AI的全面文献搜索 (2014-2023) 在科学网络核心集合.
- 使用CiteSpace 6.2.R6提取和分析引用信息以实现可视化.
主要成果:
- 分析了736篇出版物,在2019年后的人工智能关注的激增.
- 中国在出版物方面处于领先地位;Khon Kaen大学在机构产出方面处于领先地位.
- 肝病学被确定为最有影响力的期刊;国际合作明显.
结论:
- 目前的研究热点包括用于CCA诊断的AI,转移风险评估和复发预测.
- 人工智能应用的跨学科整合对于未来的CCA进步至关重要.
- 人工智能具有显著的潜力,可以提高CCA的早期诊断和治疗决策.
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