人工智能的应用在紧急情况和灾难中的 triage:一个系统的审查
Azadeh Tahernejad1, Ali Sahebi2, Ali Salehi Sahl Abadi3,4
1Department of Health in Disasters and Emergencies, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, 1983535511, Iran.
BMC public health
|November 18, 2024
概括
灾难分类中的人工智能 (AI) 改善了患者护理和资源管理. 挑战包括信任,培训和数据隐私,但人工智能提供及时治疗和更好的复苏.
科学领域:
- 紧急医疗 紧急医疗
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 越来越多的全球紧急情况需要超越传统方法的先进分拣解决方案.
- 智能分拣系统利用人工智能和技术来应对增加的患者负载.
研究的目的:
- 研究人工智能和技术在灾难和紧急病人的分拣中的应用.
- 识别与实施智能分拣系统相关的挑战.
主要方法:
- 按照PRISMA指南进行系统审查.
- 搜索了PubMed,Scopus,科学网,谷歌学者和参考列表,直到2024年9月.
- 包括19项关于人工智能在分拣中的高质量研究.
主要成果:
- 人工智能算法 (OpenPose,YOLO) 在大规模伤亡事件中提高了效率.
- 电子分类系统改善了生命信号监测和分类速度.
- 人工智能在COVID-19诊断中表现出高准确度 (94.57%).
- 实施挑战包括信任,培训,设备和数据隐私.
结论:
- 人工智能驱动的分拣系统为灾难受害者提供了及时的治疗和改进的复苏.
- 未来的研究应该专注于为儿童和残疾人等弱势群体开发人工智能分拣系统.
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