人工智能赋予罕见疾病权力:过去二十年的图书统计视角
Peiling Ou1, Ru Wen1, Linfeng Shi1
17T Magnetic Resonance Imaging Translational Medical Center, Department of Radiology, Southwest Hospital, Army Medical University, (Third Military Medical University), 30 Gao Tan Yan St, Chongqing, 400038, China.
Orphanet journal of rare diseases
|September 13, 2024
概括
自2003年以来,罕见疾病 (RDs) 中的人工智能 (AI) 研究迅速增长. 关键领域包括诊断,管理和个性化治疗,在生物标志物和预测模型方面具有未来的潜力.
科学领域:
- 图书统计学 图书统计学
- 医疗信息学 医疗信息学
- 基因组学就是基因组学.
背景情况:
- 罕见疾病 (RD) 在诊断和治疗方面存在独特的挑战.
- 人工智能 (AI) 为推进研发人员的研究和护理提供了潜在的解决方案.
- 需要进行全面的文献计量分析,以了解人工智能在研发和开发中的应用.
研究的目的:
- 从2003年到2023年,对研发领域的人工智能应用进行文献分析.
- 确定出版趋势,领先的国家,国际合作和研究热点.
- 通过关键词爆发分析来发现新兴的研究前沿.
主要方法:
- 从科学网络 (WoS) (2003-2023) 获取的文献数据.
- 全球研究进行了景观分析.
- CiteSpace软件用于关键字聚类和爆发检测.
主要成果:
- 分析了1501个出版物,显示了三个发展阶段:创业 (2003-2010年),稳定发展 (2011-2018年) 和加速增长 (2019-2023年).
- 美国在出版物方面领先;有85个国家参与.
- 主要关键词:突变,诊断,管理. 主要研究领域:基因鉴定,有效管理,个性化治疗.
- 新兴趋势:生物标志物,预测模型,数据挖掘.
结论:
- 人工智能在研发和开发领域的应用取得了显著进展,并显示出有前途的结果.
- 国际合作对于未来的进步至关重要.
- 人工智能将对快速诊断,个性化治疗,药物开发,数据集成和RDs中持续的患者护理至关重要.
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