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How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?

Year: 2020

Type: article

Source: Radiology Artificial Intelligence

DOI: 10.1148/ryai.2020200053

Authors: Shinjini Kundu, Hesham Elhalawani, Judy W. Gichoya, Charles E. Kahn

Institutions: Cleveland Clinic, Johns Hopkins University, Emory University, Johns Hopkins Medicine, Johns Hopkins Hospital, University of Pennsylvania

Language: English

Topic: COVID-19 diagnosis using AI

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W3022915549

FWCI: 6.941

Cites: 35

Cited by: 60

Related to: 10