创伤护理中的人工智能:应用,伦理挑战和通往负责任整合的途径
Elena Giovanna Bignami1, Michele Berdini, Valentina Bellini
1Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Current opinion in anaesthesiology
|February 11, 2026
概括
人工智能 (AI) 在改善创伤护理方面表现有前途,从分拣到治疗. 然而,道德考虑和严格的验证对于在创伤系统中安全和公平的AI集成至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 创伤外科 手术 创伤外科
背景情况:
- 人工智能越来越多地被用于创伤护理的整个领域.
- 应用范围从医院前患者选到医院内关键决策过程.
研究的目的:
- 综合人工智能在创伤护理中的新兴应用.
- 审查与人工智能实施相关的伦理挑战.
- 检查监管框架,以负责任地将AI整合到创伤系统中.
主要方法:
- 对近期关于人工智能在创伤护理中的研究进行系统审查.
- 对创伤应用的机器学习和深度学习模型的分析.
- 审查伦理准则和监管行为 (例如,世卫组织,欧盟人工智能法).
主要成果:
- 机器学习和深度学习模型在改善创伤分拣,成像解释和预测出血/输血需求方面显示出潜力.
- 大多数人工智能系统目前都处于概念验证阶段,外部验证有限.
- 临床翻译的主要障碍包括数据隐私,透明度,问责制和自动化偏见.
结论:
- 人工智能为创伤护理提供了变革性的潜力.
- 严格的验证,透明的治理和临床医师培训对于安全和公平的AI部署至关重要.
- 以人为中心的整合,强调监督和合作,对于实现人工智能在创伤医学中的全部潜力至关重要.
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