找到平衡:人工智能健康技术的创新,公平和一致性
Eric Perakslis1,2, Kimberly Nolen3, Ethan Fricklas1
1Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States.
人工智能 (AI) 创新需要专门的监管框架,特别是在生物制药领域. 建议采用混合方法来评估AI患者解决方案,确保监管清晰,并促进医疗保健方面的创新.
科学领域:
- 生物制药创新 生物制药创新
- 医疗保健中的人工智能
- 监管科学 监管科学
背景情况:
- 当前的人工智能创新挑战现有的监管分类,经常迫使他们进入不受监管的健康或消费电子领域.
- 生物制药公司比消费电子产品面临更严格的法规 (例如,阳光法案),这为人工智能开发创造了不平等的竞争环境.
- 缺乏监管明确性阻碍了人工智能在医疗保健中的采用和创新,特别是患者护理解决方案.
研究的目的:
- 审查基于人工智能的产品的现有监管格局,考虑到生物制药的现有责任.
- 为评估基于AI的患者解决方案提出一种新的混合监管框架.
- 确保生物制药领域的人工智能创新不会被模两可或不充分的法规杀.
主要方法:
- 审查生物制药行业现有的监管框架和法律责任.
- 分析当前的人工智能创新及其分类挑战.
- 通过案例研究开发和阐述拟议的混合方法.
主要成果:
- 确定了人工智能医疗器械现行法规中的重大差距和模两可.
- 提出了一个新的混合框架,以解决AI在生物制药患者解决方案中的独特挑战.
- 通过案例研究证明了这种方法的可行性和重要性.
结论:
- 专业化,混合化的监管框架对于将AI安全有效地整合到生物制药患者护理中至关重要.
- 这种方法旨在平衡监管监督与促进创新和扩展人工智能驱动的医疗保健解决方案的需要.
- 监管清晰度对于鼓励生物制药公司对人工智能的投资至关重要,以改善患者的治疗结果.
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