Clinical,Pathological and Imaging Manifestations of Novel Coronavirus InfectionWANG Rengui前插1-前插2,297-302
Clinical and Imaging Analysis of Patients with Severe and Critical Coronavirus Disease 2019 with Different PrognosisWANG Xing, YUAN Libo, WANG Wei, LIU Jiaojiao, LI Hongjun, CHEN Budong303-312
Imaging Features and Dynamic Changes of Chest Computed Tomography in Patients Infected with SARS-CoV-2 Omicron VariantsCHEN Hui, ZHANG Zixin, CHEN Qiyi, LI Jingjing, LYU Zhibin, XUE Ming, CHEN Jiamin, XIE Ruming, GUAN Chunshuang313-322
Application of a Machine Learning Fusion Model Based on Computed Tomography Image Omics in the Differential Diagnosis of Novel Coronavirus Pneumonia and Other Viral Pneumonia in ChildrenLI Haiyan, LI Zhiqiang, XU Shuming323-330
Correlation of Lung Lesion Volume Measurement Using Artificial Intelligence and Prognosis of Patients with Severe Coronavirus Disease 2019 InfectionHE Yanlin, XU Changrong, WU Liji, CHAI Jun331-338
Clinical Application Potentials of Ground Glass Opacities in Different Stages of Coronavirus Disease 2019LIU Rui, WU Tingting, GOU Shaobo, XUE Ruihong, JIA Yanru, CHAI Jun339-346
Chest Computed Tomography Imaging Features of Novel Coronavirus Omicron Strain Infection in ChildrenLIAO Qianyi, LIN Feifei, ZHUANG Yijiang, SUN Longwei, LU Ning, LI Peng347-355
Value of AI-based Multiomics Analysis in Differentiating COVID-19 from Community-acquired PneumoniaWANG Xiaolan, ZHAO Jianhua357-366
Clinical Classification and Age-related Analysis of Coronavirus Disease 2019 Based on Computed Tomography FindingsLIU Jing, CHAI Jun, LIANG Danyan, YAN Xin, LYU Gaoxing, LIU Yu, WANG Xiaolan, ZHAO Jianhua367-372
Imaging Study of COVID-19 Patients with Diabetes Mellitus by Computed Tomograpgh Quantitative Indicators Based on Deep LearningLI Ling, ZHANG Mingxia, SUN Ying, DUAN Shuhong, GUO Jia, DU Changyue, LIU Mengke, ZHANG Yimeng, SUN Lei, HUO Meng, WANG Rengui373-379