An artificial intelligence deep learning platform achieves high diagnostic accuracy for Covid-19 pneumonia by reading chest X-ray images.
An artificial intelligence deep learning platform achieves high diagnostic accuracy for Covid-19 pneumonia by reading chest X-ray images.
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DOI：
10.1016/j.isci.2022.104031
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发表时间：
2022-04-15
期刊：
影响因子：
5.8
通讯作者：
Li S
中科院分区：
文献类型：
--
作者：
Li D;Li S
2019年的冠状病毒病（Covid-19）导致致命的肺部感染（肺炎）。新冠肺炎的准确临床诊断对于指导治疗至关重要。COVID-19 RNA检测不能反映疾病的临床特征和严重程度。新冠肺炎患者的肺炎可能由非新冠肺炎微生物引起，区分新冠肺炎和非新冠肺炎至关重要。胸部X光检查可以发现肺炎，但很难达到很高的诊断准确率。我们开发了一种基于人工智能（AI）的深度学习方法，对Covid-19肺炎具有很高的诊断准确率。我们分析了10，182例健康个体的胸部X光图像，细菌性肺炎。和病毒性肺炎（Covid-19和非Covid-19）来构建和测试AI模型。在病毒性肺炎中，新冠肺炎的诊断准确率达到99.95%。在区分Covid-19肺炎与细菌性肺炎（99.85%准确率）或正常肺部图像（100%准确率）方面也实现了高诊断准确性。我们的人工智能模型仅通过阅读胸部X光图像就能准确诊断新冠肺炎。我们使用人工智能模型通过阅读胸部X光图像来诊断新冠肺炎我们采用我们独特的深度学习投票算法结合多个卷积神经网络我们的人工智能模型在新冠肺炎检测方面达到了很高的诊断准确率（>99%）我们获得并分析了一个大型胸部X光图像数据集（10，182张图像）放射学;病毒学;人工智能
The coronavirus disease of 2019 (Covid-19) causes deadly lung infections (pneumonia). Accurate clinical diagnosis of Covid-19 is essential for guiding treatment. Covid-19 RNA test does not reflect clinical features and severity of the disease. Pneumonia in Covid-19 patients could be caused by non-Covid-19 organisms and distinguishing Covid-19 pneumonia from non-Covid-19 pneumonia is critical. Chest X-ray detects pneumonia, but a high diagnostic accuracy is difficult to achieve. We develop an artificial intelligence-based (AI) deep learning method with a high diagnostic accuracy for Covid-19 pneumonia. We analyzed 10,182 chest X-ray images of healthy individuals, bacterial pneumonia. and viral pneumonia (Covid-19 and non-Covid-19) to build and test AI models. Among viral pneumonia, diagnostic accuracy for Covid-19 reaches 99.95%. High diagnostic accuracy is also achieved for distinguishing Covid-19 pneumonia from bacterial pneumonia (99.85% accuracy) or normal lung images (100% accuracy). Our AI models are accurate for clinical diagnosis of Covid-19 pneumonia by reading solely chest X-ray images. We used artificial intelligence models to diagnose Covid-19 pneumonia by reading chest X-ray images We employed our unique deep learning voting algorithms combining multiple Convolutional neural networks Our AI models reached a high diagnostic accuracy (>99%) for Covid-19 pneumonia detection We obtained and analyzed a large chest X-ray image dataset (10,182 images) Radiology; Virology; Artificial intelligence
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DOI：
10.1016/s2213-2600(21)00005-9
发表时间：
2021-03
期刊：
The Lancet. Respiratory medicine
影响因子：
--
作者：
Kirby T
通讯作者：
Kirby T
影响因子：
168.9
作者：
Huang, Chaolin;Wang, Yeming;Cao, Bin
通讯作者：
Cao, Bin
影响因子：
16.6
作者：
Jin C;Chen W;Cao Y;Xu Z;Tan Z;Zhang X;Deng L;Zheng C;Zhou J;Shi H;Feng J
通讯作者：
Feng J
影响因子：
19.7
作者：
Li, Lin;Qin, Lixin;Xia, Jun
通讯作者：
Xia, Jun
影响因子：
64.5
作者：
Korber, Bette;Fischer, Will M.;Montefiori, David C.
通讯作者：
Montefiori, David C.