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1
Deep learning for predicting COVID-19 malignant progression.用于预测COVID-19恶性进展的深度学习
Med Image Anal. 2021 Aug;72:102096. doi: 10.1016/j.media.2021.102096. Epub 2021 May 12.
2
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.医学影像人工智能清单（CLAIM）：作者和审稿人指南
Radiol Artif Intell. 2020 Mar 25;2(2):e200029. doi: 10.1148/ryai.2020200029. eCollection 2020 Mar.
3
Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA.北美放射学会关于报告与COVID-19相关的胸部CT检查结果的专家共识文件：得到了胸腔放射学会、美国放射学会和北美放射学会的认可。
Radiol Cardiothorac Imaging. 2020 Mar 25;2(2):e200152. doi: 10.1148/ryct.2020200152. eCollection 2020 Apr.
4
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.深度学习利用 CT 图像准确诊断新型冠状病毒（COVID-19）。
IEEE/ACM Trans Comput Biol Bioinform. 2021 Nov-Dec;18(6):2775-2780. doi: 10.1109/TCBB.2021.3065361. Epub 2021 Dec 8.
5
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19).利用 CT 图像进行冠状病毒病（COVID-19）筛查的深度学习算法。
Eur Radiol. 2021 Aug;31(8):6096-6104. doi: 10.1007/s00330-021-07715-1. Epub 2021 Feb 24.
6
CT imaging features of different clinical types of COVID-19 calculated by AI system: a Chinese multicenter study.人工智能系统计算的新型冠状病毒肺炎不同临床类型的CT影像特征：一项中国多中心研究
J Thorac Dis. 2020 Oct;12(10):5336-5346. doi: 10.21037/jtd-20-1584.
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AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system.用于新冠病毒疾病筛查的人工智能辅助CT影像分析：构建与部署医学人工智能系统
Appl Soft Comput. 2021 Jan;98:106897. doi: 10.1016/j.asoc.2020.106897. Epub 2020 Nov 10.
8
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.COVID-Net：一种针对胸部 X 光图像中 COVID-19 病例检测的定制化深度卷积神经网络设计。
Sci Rep. 2020 Nov 11;10(1):19549. doi: 10.1038/s41598-020-76550-z.
9
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography.基于深度学习的高分辨率计算机断层扫描 2019 年新型冠状病毒肺炎检测模型。
Sci Rep. 2020 Nov 5;10(1):19196. doi: 10.1038/s41598-020-76282-0.
10
A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia.一种用于筛查2019冠状病毒病肺炎的深度学习系统。
Engineering (Beijing). 2020 Oct;6(10):1122-1129. doi: 10.1016/j.eng.2020.04.010. Epub 2020 Jun 27.

How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?

作者信息

Kundu Shinjini, Elhalawani Hesham, Gichoya Judy W, Kahn Charles E

机构信息

The Johns Hopkins Hospital, Department of Radiology, 601 N Caroline St, Room 4223, Baltimore, MD 21287 (S.K.); Cleveland Clinic, Department of Radiation Oncology, Cleveland, Ohio (H.E.); Emory University School of Medicine, Department of Radiology, Atlanta, Georgia (J.G.); University of Pennsylvania, Department of Radiology, Philadelphia, Pennsylvania (C.E.K.).

出版信息

Radiol Artif Intell. 2020 May 6;2(3):e200053. doi: 10.1148/ryai.2020200053. eCollection 2020 May.

DOI:10.1148/ryai.2020200053
PMID:33928254
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7233385/
Abstract
摘要