Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

Summary: Background: Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with COVID-19. We aimed to develop and evaluate an artificial intelligence system using chest x-rays and clinical data to predict disease severit...

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Bibliographic Details
Main Authors: Zhicheng Jiao, PhD, Ji Whae Choi, BA, Kasey Halsey, BA, Thi My Linh Tran, BS, Ben Hsieh, MS, Dongcui Wang, MD, Feyisope Eweje, BSc, Robin Wang, BA, Ken Chang, PhD, Jing Wu, MD, Scott A Collins, AS, Thomas Y Yi, BS, Andrew T Delworth, Tao Liu, PhD, Terrance T Healey, MD, Shaolei Lu, MD, Jianxin Wang, ProfPhD, Xue Feng, PhD, Michael K Atalay, MD, Li Yang, PhD, Michael Feldman, MD, Paul J L Zhang, MD, Wei-Hua Liao, ProfMD, Yong Fan, PhD, Harrison X Bai, MD
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S258975002100039X

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http://www.sciencedirect.com/science/article/pii/S258975002100039X

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