实时胸部X射线计算机辅助检测系统的临床和经济评估,用于紧急和重症监护环境中的错位内管和鼻胃管和肺胸部:集群随机对照试验的协议
Chu-Lin Tsai1,2, Teresa Cheng-Chieh Chu1, Chih-Hung Wang2
1Integrative Medical Data Center, Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan.
这项研究评估了人工智能辅助的胸部X射线 (CXR) 计算机检测系统,以改善患者的治疗结果并降低医疗保健成本. 实时CAD系统旨在提高肺胸部和错位管道等关键疾病的检测.
科学领域:
- 医疗成像中的人工智能
- 放射学和诊断成像
- 临床试验设计
背景情况:
- 人工智能的进步正在彻底改变胸部X射线成像的计算机辅助检测 (CAD).
- 一个以前开发的基于人工智能的紧急CXR系统提供了用于临床试验的现成模块.
- 这项研究集中在三个子模块:检测错位的内管,错位的鼻胃管和识别肺胸.
研究的目的:
- 在紧急和重症监护环境中应用实时CXR CAD系统.
- 在不改变标准护理的情况下评估CAD的临床和经济效益.
- 评估对死亡率,并发症,住院时间,工作量和翻译时间的影响,以及成本效益.
主要方法:
- 一个试点试验和集群随机控制试验设计与病房级随机化.
- 干预组单位获得人工智能诊断结果;对照组维持标准护理.
- 从参与病房的医疗保健提供者获得知情同意.
主要成果:
- 这项研究于2024年9月获得资金.
- 数据收集时间为2026年1月至2027年12月.
结论:
- 预计实时CXR CAD系统将自动检测错位的管道和肺胸部.
- 该系统旨在减少医生的工作量,缩短检测时间,减少患者死亡率和住院时间.
- 预期的结果包括通过提高效率和患者结果降低医疗保健成本.
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