放射学中的人工智能:导航医疗责任
Maria Teresa Contaldo1, Giovanni Pasceri2, Giacomo Vignati1
1Postgraduation School in Radiodiagnostics, University of Milan, 20122 Milan, Italy.
Diagnostics (Basel, Switzerland)
|July 27, 2024
概括
医生仍然主要负责涉及人工智能 (AI) 的医疗错误,可能与开发人员共同承担责任. 人工智能在医疗保健中需要明确的法律框架.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 医疗保健法律 医疗保健法律
背景情况:
- 人工智能 (AI) 将医疗保健中的任务自动化,增强但不取代人类的决策.
- 人工智能融入医疗实践,特别是放射学,在责任方面带来了复杂的法律挑战.
- 人工智能算法的不透明性 ("黑子现象") 复杂化了人工智能生成结果的解释和可用性.
研究的目的:
- 调查AI在医学放射学中的法律挑战.
- 在AI相关的医疗错误的情况下分析专业责任归属.
- 检查人工智能自治与负责任的临床实践之间的平衡.
主要方法:
- 对相关判例的分析.
- 法律和医学文献的评论.
- 对医疗器械的专业责任框架的审查.
主要成果:
- 医生保留了对错误的首要责任,在医疗器械责任下,可能与AI开发人员共同承担责任.
- 医生必须根据专业标准证明偏离人工智能发现的决定是合理的.
- 了解AI指标 (例如,灵敏度,特异性) 对于有效使用至关重要,尽管算法不透明.
结论:
- 强大的法律框架对于在医疗保健中负责任地实施人工智能至关重要.
- 持续更新系统和透明的患者沟通关于人工智能使用的信息是必不可少的.
- 与医生监督和明确的责任平衡人工智能能力是安全人工智能集成的关键.
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