[人工智能时代的临床研究和医学伦理]
1Department of Infectious Diseases, Guangdong Provincial Key Laboratory of Liver Disease Research, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China.
概括
人工智能 (AI) 通过优化研究和临床实践,为医学提供了变革性的潜力. 然而,仔细考虑数据隐私和算法偏见等道德挑战对于负责任的AI集成至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
- 临床研究 临床研究
背景情况:
- 人工智能 (AI) 是第四次工业革命中的变革性技术,对现代医学产生了重大影响.
- 人工智能应用在医学成像,临床决策支持,精准医学和药物开发等领域普遍存在,提高了研究效率和试验设计.
研究的目的:
- 在临床研究阶段系统地讨论当前的AI应用.
- 分析与医学中的AI相关的核心道德困境.
- 为医疗保健中的AI提出道德治理框架和应对策略.
主要方法:
- 在临床研究中对人工智能应用进行系统审查.
- 深入分析道德挑战,包括数据隐私,算法偏见,责任和知情同意.
- 发展道德治理框架和协作战略.
主要成果:
- 人工智能在临床研究和实践中提供了革命性的机会.
- 显著的伦理和监管挑战出现,包括数据隐私,算法偏见,问责制和知情同意.
- 强调需要以人为本,以技术为驱动的协作治理体系.
结论:
- 在人工智能开发过程中遵守伦理原则对于科学,公平和安全的临床研究至关重要.
- 建议采取协调方法,平衡人工智能技术的进步与医学伦理.
- 建立强大的道德治理确保了人工智能在医疗保健中的负责任整合.
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