新型人工智能引导非专家压缩超声波DVT诊断途径可能减少血管 实验室静脉检测
Efthymios Avgerinos1, Stavros Spiliopoulos2, Foteini Psachoulia1
1Department of Vascular Surgery, Attikon Hospital, University of Athens, Greece.
概括
由人工智能驱动的ThinkSono指导系统使非专家提供者能够准确诊断深静脉血栓 (DVT),可能减少对双重超声波的需求,缩短患者等待时间.
科学领域:
- 医疗成像医学成像
- 医疗保健中的人工智能
- 血管医学 血管医学
背景情况:
- 深静脉血栓 (DVT) 诊断通常涉及超声波和D-二次体检测.
- ThinkSono指导系统是一个人工智能工具,旨在为非超声波培训人员进行压缩超声波.
- 超声波图像的远程解释由这个系统提供了便利.
研究的目的:
- 评估ThinkSono指导系统的临床实用性.
- 评估这种人工智能系统的潜力,以减少对传统静脉双重扫描的依赖.
- 确定系统是否可以减少疑似DVT的诊断等待时间.
主要方法:
- 预期招聘急诊室患者怀疑DVT.
- 由非专家提供者使用ThinkSono指导进行人工智能引导的压缩超声检查.
- 超声波图像的远程放射学家审查用于诊断质量和评估.
- 将ThinkSono Guidance的结果与D-dimer测试和随后的静脉双重扫描进行比较.
主要成果:
- 评估了53名患者;所有扫描都具有诊断质量.
- 在诊断DVT时,ThinkSono Guidance实现了96%的特异性和100%的灵敏性.
- 扫描和审查的平均时间为6.75分钟,审查的中位时间为37.5分钟.
- 32%的患者因ThinkSono指导和D-dimer结果呈阴性,因此没有进一步测试就出院了.
结论:
- "思索诺指导系统"显示出了一个新的AI辅助诊断途径的潜力,用于DVT.
- 相当数量的疑似DVT患者可能会避免双重超声波和D-二次体检测.
- 这种AI系统可以简化DVT诊断和资源利用.
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