在眼科诊断中使用人工智能产生的潜在法律问题
1Royal Holloway, University of London, London, UK.
The Medico-legal journal
|November 20, 2025
概括
人工智能 (AI) 有助于检测眼睛疾病,但英国法律缺乏对AI错误的明确规定. 这引发了有关AI故障导致患者受伤时责任的问题.
科学领域:
- 眼科医生 眼科 眼科
- 医疗法 法律 医疗法
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在提高视网膜疾病检测的准确性方面表现有前途.
- 目前的英国 (UK) 法律没有明确地解决医疗保健中AI的监管问题.
- 现有的法律框架可能会使用户对AI相关的错误和损害负责.
研究的目的:
- 检查英国有关医疗保健人工智能的法律中的监管和责任差距,特别是对于视网膜疾病诊断.
- 探索AI图像制作或诊断系统产生的错误的问责制框架.
主要方法:
- 审查有关医疗器械和人工智能的现行英国立法.
- 对医疗保健中的AI法律先例和伦理考虑的分析.
- 讨论AI引发错误的潜在责任模型.
主要成果:
- 目前,英国法律缺乏明确的规定来规范医疗保健中的AI系统.
- 对人工智能故障造成伤害的责任是模两可的,可能会落在系统用户身上.
- 在人工智能系统,开发人员和运营商之间确定责任是一个重大的法律挑战.
结论:
- 迫切需要更新英国立法,以应对人工智能在医疗保健中的独特挑战.
- 需要明确的指导方针来确定医疗诊断中AI相关错误的责任.
- 定义问责制对于将人工智能安全有效地整合到患者护理中至关重要.
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