使用人工智能来打击抗微生物药物耐药性的策略
Andrea Zovi1, Giacomo Polito2, Andrea Caprodossi3
1School of Pharmacy, University of Camerino (Macerata), Italy - Department of Prevention, Research and Health Emergencies, Italian Ministry of Health, Rome, Italy.
抗菌素耐药性 (AMR) 是一个全球性的健康危机. 人工智能 (AI) 通过加速药物发现和改善医疗监测,诊断和治疗,为打击AMR提供了有前途的解决方案.
科学领域:
- 医疗信息学 医疗信息学
- 传染性疾病 传染性疾病
- 医疗保健中的人工智能
背景情况:
- 抗菌素耐药性 (AMR) 构成一个重大的全球健康威胁,被世界卫生组织确定为一个主要的公共卫生问题.
- 不断升级的危机需要创新的策略来打击耐药病原体.
- 先进的信息技术,特别是人工智能 (AI),正在成为解决AMR的潜在工具.
研究的目的:
- 审查当前关于人工智能 (AI) 在打击抗菌素耐药性 (AMR) 方面的作用的证据.
- 探索人工智能应用如何支持医疗保健的各个方面,以对抗AMR.
主要方法:
- 关于人工智能在医疗保健中的应用与AMR相关的最新证据的文献综述.
- 对AI对抗微生物药物发现,监测,诊断和治疗的潜在影响的分析.
主要成果:
- 人工智能可以显著减少与发现新抗菌药物相关的时间和成本.
- 人工智能提高了疾病监测,诊断和AMR治疗策略的准确性和及时性.
- 人工智能在医疗保健的多个部门展示了减轻抗菌药物抵抗危机的潜力.
结论:
- 人工智能 (AI) 在全球打击抗菌素耐药性 (AMR) 的努力中提供了一个有价值和强大的资源.
- 将人工智能集成到医疗保健系统中对于开发针对耐药性感染的有效对策至关重要.
- 对人工智能的持续研究和应用对于管理和减少全球AMR的影响至关重要.
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