MedComm | Radiomics‐based model for accurately distinguishing between severe acute respiratory syndrome associated coronavirus 2 (SARS‐CoV‐2) and influenza A infected pneumonia


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The spread of coronavirus disease 2019 (COVID19) has become a global pandemic and public health problem. Although unprecedented efforts had been concentrated to identify and isolate individuals with risk of SARSCoV2 infection, clinicians are facing tremendous difficulties in efficiently and quickly diagnosing these patients due to massive volume of suspected cases. Herein, Prof. Minghua Zheng et al developed a machine‐learning algorithm based on radiomics to assist clinical diagnosis.

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