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Paper Details

A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
Eur J Radiol
22
2021
COVID, COVID-19, CR, Oxygen, PLT, TOR, WBC, coronavirus disease, lung infection, patient, patients, platelet, white blood cell
COVID-19, Deep Learning, Electronic Health Records, Humans, Lung, Prognosis, SARS-CoV-2, Tomography, X-Ray Computed
Author NameAffiliation
Kuang GongMassachusetts General Hospital
Dufan WuMassachusetts General Hospital
Chiara Daniela ArruMassachusetts General Hospital
Fatemeh HomayouniehMassachusetts General Hospital
Nir NeumarkMGH & BWH Center for Clinical Data Science
Jiahui Guan
Varun BuchMGH & BWH Center for Clinical Data Science
Kyungsang KimMassachusetts General Hospital
Bernardo C BizzoMGH & BWH Center for Clinical Data Science
Hui RenMassachusetts General Hospital
Won Young TakKyungpook National University
Soo Young ParkKyungpook National University
Yu Rim LeeKyungpook National University
Min Kyu KangYeungnam University College of Medicine
Jung Gil ParkYeungnam University College of Medicine
Alessandro CarrieroAzienda Ospedaliera Universitaria Maggiore della Carita
Luca SabaAzienda Ospedaliera Universitaria Policlinico di Monserrato
Mahsa MasjediKashan University of Medical Sciences
Hamid Reza TalariKashan University of Medical Sciences
Rosa BabaeiFiroozgar Hospital, Iran University of Medical Sciences
Hadi Karimi MobinFiroozgar Hospital, Iran University of Medical Sciences
Shadi EbrahimianMassachusetts General Hospital
Ning GuoMassachusetts General Hospital
Subba R DigumarthyMassachusetts General Hospital
Ittai DayanMGH & BWH Center for Clinical Data Science
Mannudeep K KalraMassachusetts General Hospital
Quanzheng LiMassachusetts General Hospital
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