Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study

In this study, we aimed to predict mechanical ventilation requirement and mortality using computational modeling of chest radiographs (CXRs) for coronavirus disease 2019 (COVID-19) patients. This two-center, retrospective study analyzed 530 deidentified CXRs from 515 COVID-19 patients treated at Sto...

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Bibliographic Details
Published in:	Diagnostics
Main Authors:	Joseph Bae, Saarthak Kapse, Gagandeep Singh, Rishabh Gattu, Syed Ali, Neal Shah, Colin Marshall, Jonathan Pierce, Tej Phatak, Amit Gupta, Jeremy Green, Nikhil Madan, Prateek Prasanna
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Subjects:	COVID-19 radiography radiomics deep learning artificial intelligence machine learning
Online Access:	https://www.mdpi.com/2075-4418/11/10/1812

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