一个基于多类放射学方法的世卫组织严重程度尺度,用于从CT扫描中改善COVID-19患者评估和疾病特征

John Anderson Garcia Henao¹, Arno Depotter, Danielle V Bower+21

• ¹From the ARTORG Center for Biomedical Research, University of Bern, Bern, Switzerland (J.A.G.H., M.R.); Department of Diagnostic, Interventional, and Pediatric Radiology, Inselspital Bern, University of Bern, Bern, Switzerland (A.D., D.V.B., H.B., P.T.T., H.S.-J., M.C.B., H.M.B., A.P.); Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT (J.H., L.H.S., C.G., J.S.D.); Department of Biomedical Engineering, Yale University, New Haven, CT (J.H., J.Y., L.H.S., J.S.D.); Department of Electrical Engineering, Yale University, New Haven, CT (C.Y.); Section of "Scienze Radiologiche," Diagnostic Department, University Hospital of Parma, Parma, Italy (R.E.L., M.S., N.S.); Department of Medicine and Surgery, University of Parma, Italy (R.E.L., N.S.); Ricerca Clinica ed Epidemiologica, University Hospital of Parma, Parma, Italy (C.C.); Department of Radiology at Mayo Clinic College of Medicine and Science, Florida, Jacksonville, FL (I.O.C.); Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (C.S.D.C.); Department of Emergency Medicine, Inselspital University Hospital, University of Bern, Bern, Switzerland (W.H.); Campusradiologie, Department of Radiological Diagnostics, Lindenhofspital Bern, Bern, Switzerland (H.M.B.).; Campus Stiftung Lindenhof Bern, Bern, Switzerland (H.M.B.); and Department of Radiation Oncology, Inselspital, Bern University Hospital, Bern, Switzerland (M.R.).