紧急医疗中的人工智能:一个叙事审查
Angelica Rego1, Juan Pablo Arango-Ibanez2, R Andrew Taylor3
1Department of Emergency Medicine, MaineHealth Maine Medical Center, Portland, ME, USA.
The American journal of emergency medicine
|January 30, 2026
概括
人工智能 (AI) 具有显著的潜力,可以通过分拣,诊断和操作中的应用来增强紧急医疗 (EM). 了解人工智能的能力和局限性对于急诊医生来说至关重要.
科学领域:
- * 计算智能和机器学习在临床实践中的应用.
- *用于医疗保健决策支持的高级数据分析.
背景情况:
- *人工智能 (AI) 越来越多地融入医疗保健系统.
- *紧急医疗 (EM) 是一个正在经历扩展AI应用的关键领域.
研究的目的:
- *审查人工智能在紧急医疗中的主要应用.
- * 概述与急诊临床医生相关的AI的局限性和未来方向.
主要方法:
- *专注于对应急医学的AI现有文献进行叙事审查.
- * 在EM护理连续过程中对AI应用的信息的综合.
主要成果:
- *人工智能应用涵盖了医院前护理,放射学,护理点超声波和急诊室操作.
- *人工智能有助于分拣,诊断,预后,工作流程优化和临床教育.
- * 确定的局限性包括数据质量,偏见,透明度,可概括性和工作流集成.
结论:
- *人工智能在改善紧急医疗的各个方面显示出巨大的前景.
- *急诊医生必须意识到AI的潜在好处和固有的局限性.
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