在重症监护医学中实施人工智能:22个人的共识
Maurizio Cecconi1,2, Massimiliano Greco3,4, Benjamin Shickel5,6
1Humanitas University, Milan, Italy. maurizio.cecconi@humanitas.it.
Critical care (London, England)
|July 8, 2025
概括
在重症监护室 (ICU) 中的人工智能 (AI) 提供了改进的诊断,但也带来了伦理挑战. 建议侧重于公平的人工智能,协作研究和以患者为中心的重症监护教育.
科学领域:
- 关键护理医学 关键护理医学
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被整合到重症监护机构中,有望提高诊断准确性和个性化患者管理.
- 人工智能集成伴随着重大挑战,包括公平,透明度的问题,以及对重症监护室 (ICU) 患者与临床医生的关系的影响.
研究的目的:
- 评估人工智能在重症监护中的当前状态和未来发展轨迹.
- 确定关键的挑战,并为高风险的重症监护环境中负责任的AI实施提出可行的建议.
- 弥合人工智能进步和需要在重症监护医学中以人为本,以患者为中心的护理之间的差距.
主要方法:
- 召集了一个多学科的专家团队来评估在重症监护中的AI.
- 进行了建立共识的过程,以确定挑战,并制定建议.
- 为重症监护社区制定了一项行动呼吁.
主要成果:
- 确定了在重症监护中实施人工智能的关键挑战.
- 为指导人工智能集成提出了可行的建议.
- 强调需要公平的决策,协作研究网络和教育/监管转变.
结论:
- 人工智能在重症监护中的整合需要临床医生,患者,行业和监管机构的协调努力.
- 建议为在重症监护医学中道德和有效地部署人工智能提供了基础.
- 确保患者安全和最大限度地提高社会效益对于AI在重症监护中至关重要.
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