自身免疫性疾病中的人工智能:过去二十年的文献计量探索
Sidi Liu1,2, Yang Liu3, Ming Li1,2
1Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
Frontiers in immunology
|May 7, 2025
概括
人工智能 (AI) 正在改变自身免疫性疾病研究,帮助诊断和治疗. 未来的工作需要解决模型验证和数据集成方面的挑战,以获得更好的患者结果.
科学领域:
- 免疫学和计算科学 免疫学和计算科学
- 人工智能和自身免疫疾病研究的交叉点
背景情况:
- 自身免疫性疾病带来了复杂的诊断和治疗挑战.
- 人工智能 (AI) 提供了新的方法来理解和管理这些条件.
研究的目的:
- 在自身免疫性疾病研究中对AI进行文献分析.
- 绘制当前景观的地图,并确定未来的研究轨迹.
主要方法:
- 来自Web of Science核心集合的出版物的图书统计分析.
- 使用CiteSpace,HistCite Pro和VOSviewer进行数据分析和可视化.
主要成果:
- 两十年来有1,695份出版物,由美国和中国领导.
- 确定了关键机构,期刊,作者和关键文章.
- 在诊断,预后和药物发现方面绘制研究集群和应用.
结论:
- 人工智能在自身免疫性疾病管理方面具有显著的潜力.
- 挑战包括模型验证,数据集成和计算能力.
- 为了加强诊断,治疗和数据保护,需要取得进展.
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