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NAT COMMUN:清华大学和华中科技大联合开发新冠AI诊断工具

2020-10-10 MedSci原创 MedSci原创

基于胸部CT对COVID-19进行早期检测,可以及时对患者进行治疗,有助于控制疾病的蔓延。

基于胸部CT对COVID-19进行早期检测,可以及时对患者进行治疗,有助于控制疾病的蔓延。

最近,清华大学和华中科技大学的研究人员合作,提出了一种用于快速检测COVID-19的人工智能(AI)系统,并基于AI系统对COVID-19的CT进行了大量的统计分析。

研究人员在COVID-19、A/B型流感、非病毒性社区获得性肺炎(CAP)和非肺炎受试者的1万多张CT的大数据集上开发和评估了该系统。

在如此困难的多类诊断任务中,在测试队列的3199张扫描片上,研究人员开发的基于深度卷积神经网络的系统的AUC达到97.81%,在CC-CCII和MosMedData两个公开数据集上的AUC分别为92.99%和93.25%。

在一项涉及5名放射科医生的读者研究中,AI系统在更具挑战性的任务中以高于放射科医生两个数量级的速度,表现优于所有放射科医生。胸部X射线(CXR)的诊断性能也与CT进行了比较。

研究人员还对深度网络进行了详细的解释,以将系统输出与CT表现联系起来。该代码可在以下网址找到https://github.com/ChenWWWeixiang/diagnosis_covid19。

 

 

原始出处:

Cheng Jin et al. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nature Communications (2020). 

 

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    2021-08-15 liye789132251
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    2021-02-17 liuli5079
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    2020-10-12 医生2397
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    2020-10-11 公卫新人

    新冠肺炎,疫情何时才能消失

    0

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