药监信号管理中的人工智能:对工具,实施,研究和监管格局的审查
Maria Antonietta Barbieri1, Vera Battini2, Carla Carnovale2
1Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
人工智能 (AI) 增强了药物监督 (PV) 信号管理,但复杂的法规带来了挑战. 协调全球人工智能法规对于安全的药物开发和改善患者治疗结果至关重要.
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
- 监管科学 监管科学
背景情况:
- 人工智能 (AI) 正在迅速融入药物监管 (PV).
- 人工智能工具为更快,更准确的信号管理和决策提供了潜力.
- 太阳能光伏人工智能的监管环境复杂且不断发展.
研究的目的:
- 为信号管理提供可用的AI工具.
- 提供对光伏AI的监管格局的概述.
- 探索利益相关者对光伏人工智能法规的观点.
主要方法:
- 在谷歌搜索"AI药监服务提供商" (前2000个结果).
- 奥维德MEDLINE搜索2022年1月1日至2024年7月23日之间发表的文章.
主要成果:
- 人工智能工具可用于所有关键信号管理活动.
- 在不同地区存在监管差异和差异.
- 利益相关者的观点强调了人工智能监管中的挑战和机遇.
结论:
- 迫切需要国际合作,协调光伏领域的AI监管框架.
- 解决监管和运营方面的挑战对于安全和道德的人工智能实施至关重要.
- 实现人工智能在光伏领域的潜力需要协调的法规,以提高药物安全性和医疗保健成果.
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