人工智能 (AI) 和紧急医疗:平衡机遇和挑战
1Emergency Department, Service d'Aide Médicale Urgente (SAMU50), Service Mobile d'Urgence et de Réanimation (SMUR), Saint-Lô Memorial Hospital, 715 rue Henri Dunant, Saint-Lô, 50000, France, 33 682640063.
JMIR medical informatics
|August 13, 2025
概括
人工智能 (AI),包括大型语言模型 (LLM),通过数据处理和决策支持为紧急医疗提供了巨大的潜力. 然而,解决人工智能问题.
科学领域:
- 临床信息学 临床信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI),特别是大型语言模型 (LLM),正在迅速改变临床医学.
- 紧急医疗可以利用人工智能进行数据处理,工作流程增强和临床决策支持.
研究的目的:
- 提供当前在紧急医疗中的AI能力的概述.
- 探索AI在紧急环境中的应用,挑战和伦理考虑.
主要方法:
- 文献综述和专家对应急医学的AI应用的观点.
- 分析AI的潜在好处,风险和局限性,包括偏见和可解释性.
主要成果:
- 人工智能为改善急诊室患者护理和资源管理提供了潜力.
- 挑战包括人工智能"幻觉",数据偏差,解释性,责任和道德问题.
结论:
- 人工智能对紧急医疗具有前景,但需要仔细考虑安全性,公平性和问责制.
- 清晰的监管准则和人类监督对于负责任的AI实施至关重要.
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