药物监测中的人工智能:推进药物安全监测和监管整合
Ankit Nagar1, Joga Gobburu2, Aloka Chakravarty3
1University of Maryland Baltimore, Rm S41020 N Pine St, Baltimore, MD 21201, USA.
Therapeutic advances in drug safety
|August 4, 2025
概括
人工智能 (AI) 正在从实验转向药物安全 (药物监督) 的常规使用. 关键的挑战包括偏见,透明度和可解释性,以实现安全,可扩展的AI实施.
科学领域:
- 药物监督 药物监督 药物监督
- 人工智能的人工智能
- 药品安全 药品安全
背景情况:
- 人工智能 (AI) 在药物监测 (PV) 中的应用已经显著发展.
- 人工智能越来越多地被认为是药物安全监测的常规整合.
研究的目的:
- 批判性地审查人工智能的潜力,以改变药物安全监测.
- 确定在光伏中常规使用人工智能的实际实施挑战.
- 检查AI的证据基础,并防止意外后果.
主要方法:
- 关于人工智能在药监中的应用的文献综述.
- 分析实际挑战,包括偏见,透明度和可解释性.
- 检查AI的证据基础和日常使用的可扩展性.
主要成果:
- 人工智能显示出增强药物安全监测的巨大潜力.
- 关键的挑战包括确保一致的表现,减少偏见,并解决可解释性.
- 将人工智能从实验转化为常规使用需要仔细考虑多人工智能系统环境.
结论:
- 人工智能即将彻底改变药物监管,但必须应对实际挑战.
- 确保AI的可靠性,公平性和透明度对于其常规实施至关重要.
- 需要积极的策略来管理风险并最大限度地提高收益,因为人工智能在药物安全方面已成为标准.
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