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一个应用到宫癌的人工智能的文献分析分析
Qiang Huang1, Wenmei Su2, Shujun Li2
1Department of Ultrasound, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Frontiers in medicine
|April 23, 2025
概括
这份图书统计分析显示,人工智能 (AI) 对子宫癌的研究大幅增加,其中中国和美国的贡献最为突出. 关键领域包括疾病预测和机器学习应用.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 计算机科学 计算机科学
背景情况:
- 宫癌仍然是一个重大的全球健康挑战.
- 人工智能 (AI) 为早期发现,诊断和治疗宫癌提供了有前途的工具.
- 了解研究格局对于在该领域推进人工智能应用至关重要.
研究的目的:
- 在宫癌研究中对人工智能应用进行全面的文献分析.
- 识别关键趋势,有影响力的贡献者和该领域的新兴热点.
- 为未来的研究方向和合作提供见解.
主要方法:
- 从1996年到2024年对出版物的图书统计分析.
- 数据从科学网络核心集合中获取.
- 使用CiteSpace和VOSviewer进行趋势,作者,贡献和关键词共同出现的分析.
主要成果:
- 总共分析了770个出版物,其中86%是在过去5年出版的,表明快速增长.
- 中国 (315个出版物) 和美国 (155个出版物) 是研究成果的领先国家.
- 研究热点包括疾病预测,图像分析和机器学习,其中"机器学习"和"深度学习"是主要的关键词.
结论:
- 宫癌研究中的AI领域正在迅速扩大,中国和美国的贡献很大.
- 识别关键的研究人员,机构和期刊有助于理解该领域的动态.
- 这一分析为未来的研究和合作提供了路线图,以改善AI在打击宫癌中的作用.
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