人工智能驱动的诊断和机器人手术的法律框架
Hisham Jadallah Mansour Shakhatreh1, Farouq Ahmad Faleh Alazzam2
1Middle East University Jordan.
概括
人工智能和机器人手术的技术进步带来了复杂的法律挑战. 全球法规正在不断发展,但缺乏对医疗保健的一致实施和患者安全的明确性.
科学领域:
- 医疗技术 医疗技术 医学技术
- 法律研究 法律研究
- 医疗管理治理 医疗管理治理
背景情况:
- 由于技术进步,外科手术中的计算机化日益增加.
- 人工智能 (AI) 和机器人技术在医疗程序中的整合带来了重大的法律挑战.
- 关键问题包括监管,患者安全和人工智能辅助医疗保健的治理.
研究的目的:
- 巩固和检查管理医学AI的国际法律框架.
- 为各大国家提供AI在医疗保健中的法律格局的全面概述.
主要方法:
- 进行了叙述性法律审查,分析了自2010年以来的数据.
- 消息来源包括官方文件 (例如药物管理,立法) 和学术文章.
- 专注于政府对医疗保健中的AI自我监控机制的研究.
主要成果:
- 人工智能诊断工具通常遵循受监管的批准路径,但有一些例外.
- 机器人手术引发了涉及外科医生和制造商的责任问题.
- 跨界问题包括数据保护 (GDPR,HIPAA),市场后监管,网络安全和道德考虑.
- 监管方面取得了进展,但全球实施仍不一致.
结论:
- 统一的框架对于在AI医疗保健中平衡创新与患者安全至关重要.
- 未来的治理应该整合技术标准,医疗测试和安全法规.
- 在医疗环境中改进人工智能和机器人集成需要明确,有凝聚力的国际准则.
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