使用文献计量方法对人工智能对脊柱脊椎病的20年研究趋势分析
Bin Zheng1, Zhenqi Zhu1, Yan Liang1
1Spine Surgery, Peking University People's Hospital, Beijing, China.
Frontiers in pediatrics
|August 29, 2025
概括
这份图书统计分析绘制了脊柱脊椎病研究中的人工智能 (AI). 新兴趋势突出了机器学习和深度学习的诊断和治疗应用.
科学领域:
- 医疗信息学
- 计算机科学
背景情况:
- 人工智能 (AI) 在脊柱脊椎病研究中的图书统计分析.
- 从2003年到2024年,绘制AI应用的知识网络.
研究的目的:
- 识别人工智能和脊柱病研究领域的领先国家,机构,作者和期刊.
- 分析研究趋势,热点和知识网络.
- 了解人工智能的演变和未来发展方向.
主要方法:
- 从科学网络核心集合 (WoSCC) 系统检索718个出版物.
- 使用VOSviewer,文学计量在线分析平台和CiteSpace进行分析.
- 确定贡献,趋势,热点和知识网络.
主要成果:
- 中国在出版物方面处于领先地位;皇家儿童医院和新加坡国立大学是著名的机构.
- 主要研究领域包括图像处理,手术治疗应用,并发症/发育预测.
- 机器学习和深度学习被认为是新兴研究热点.
结论:
- 人工智能正在转向机器学习和深度学习.
- 这项研究为人工智能的未来研究和临床应用提供了洞察力.
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