基于人工智能和IoMT的实时网络远程医疗框架用于紧急分类和初步诊断:TeleMedQuick解决方案
Sura Saad Mohsin1, Omar H Salman2, Abdulrahman Ahmed Jasim3
1Computer Department, Faculty of Engineering, AL Iraqia University, Baghdad, Iraq.
International journal of medical informatics
|August 21, 2025
概括
远程医疗系统TeleMedQuick使用医疗物联网 (IoMT) 设备和临床规则进行快速紧急分类和诊断,达到99.1%的准确性.
科学领域:
- 医疗信息学
- 数字健康
- 医学的人工智能
背景情况:
- 在医疗决策快速的全球挑战,特别是在资源不足的环境.
- 使用狭窄算法或有限传感器输入的传统分类模型的局限性.
- 由于现有的分类系统限制, 阻碍了及时诊断和治疗.
研究的目的:
- 介绍一个基于网络的远程医疗系统,用于紧急诊断和初步诊断.
- 使用由医生批准的医疗指南的有组织的临床规则.
- 改善医院前的护理和支持.
主要方法:
- 医疗物联网 (IoMT) 设备与基于规则的专家推断引擎的集成.
- 通过指南审查和医生咨询制定了76,229条临床规则.
- 评估生命体征,症状,人口统计和患者病史.
主要成果:
- 在750名医学注释患者的数据集上进行了系统评估.
- 通过专家评审获得了99.1%的高分类准确性.
- 证实了症状重叠的最小化,并使得高F1得分的快速,可理解的决策.
结论:
- 在远程医疗中,TeleMedQuick作为一个专家系统,将IoMT传感和临床推理联系起来.
- 能够实现可扩展的实时分类和初始诊断支持,并具有可验证的透明度.
- 适用于医院前护理,应对缺乏或高需求的环境中的挑战.
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