专家共识 对于生成医学人工智能临床应用的伦理治理 (2025年版)
Meng-Chun Gong1,2, Yong-Hui Ma3, Hui Pan4
1Guangzhou Medical University Women and Children's Medical Center,Guangzhou 511400,China.
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
|February 11, 2026
概括
生成医学人工智能 (GMAI) 提供了显著的临床益处,但也带来了伦理挑战. 这种共识为GMAI建立了治理框架.
科学领域:
- 医疗人工智能 医疗人工智能
- 医疗保健道德 医疗保健道德
- 临床治理的管理.
背景情况:
- 生成医学人工智能 (GMAI) 正在医疗保健领域迅速发展,改变诊断和治疗.
- GMAI的应用包括诊断建议,治疗优化和加强医生与患者的沟通.
- 新的伦理挑战源于GMAI的开放性质,包括偏见,问责制,隐私和文化适应性.
研究的目的:
- 为解决GMAI的伦理治理滞后的问题.
- 在临床实践中建立GMAI的标准化治理框架.
- 在中国的背景下,为GMAI研究和应用的伦理审查提供指导.
主要方法:
- 组建了一个多学科专家小组 (医学伦理学,临床医学,人工智能,医院管理,公共卫生,法律).
- 使用了"预防-控制-补救"治理逻辑.
- 进行了两轮专家商,整合了国际规范和国内政策.
主要成果:
- 为GMAI制定了一项关于道德治理的共识.
- 提供了GMAI临床伦理审查的参考.
- 建立了一个权威的指导框架,以适应中国的要求.
结论:
- 对GMAI的道德治理需要一个标准化的框架来应对新出现的挑战.
- 形成的共识为GMAI的伦理临床应用提供了实用指南.
- 该框架支持负责任的创新和GMAI在医疗保健中的实施.
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