利用人工智能来推进致病性微生物学:一个参考文献和主题建模方法
Tian Tian1, Xuan Zhang1, Fei Zhang1
1Department of Family Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
Frontiers in microbiology
|December 3, 2024
概括
人工智能 (AI) 正在彻底改变致病微生物学,自2016年以来,应用程序迅速扩展. 关键领域包括病原体检测,抗生素耐药性和疫苗开发,显示AI.
科学领域:
- 致病性微生物学 致病性微生物学
- 计算生物学 计算生物学
- 传染病研究 传染病研究
背景情况:
- 人工智能 (AI) 的整合正在加速致病微生物学的研究和创新.
- 了解人工智能应用的演变和趋势对于推进该领域至关重要.
研究的目的:
- 探索AI应用在致病性微生物学中的演变和趋势.
- 提供关于人工智能如何改变该领域的研究和实践的见解.
主要方法:
- 从Web of Science核心集合中对27,420篇出版物 (2010-2024) 的图书法分析和主题建模.
- 确定AI在致病性微生物学研究中的关键趋势,研究领域和地理分布.
主要成果:
- 自2016年以来,人工智能出版物的指数增长,其中中国和美国的重要贡献.
- 确定了八个关键的人工智能应用领域:病原体检测,抗生素耐药性预测,传播建模,基因组分析,治疗优化,生态分析,疫苗开发和数据管理.
- 研究领域之间发现了大量的词汇重叠,特别是药物耐药性和疫苗开发.
结论:
- 人工智能正在从实验室研究向临床应用过渡,增强医院运营和公共卫生.
- 人工智能优化了病原体检测,诊断速度,治疗疗效和疾病控制,包括快速抗生素敏感性测试和疫苗开发.
- 该研究为未来的人工智能研究,资源配置和病原微生物学政策制定提供了路线图.
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