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DSIR Recognized | FWA Approved - FWA00012971

Deep learning model to predict the need for mechanical ventilation using chest X-ray images in hospitalised patients with COVID-19

Background

There exists a wide gap in the availability of mechanical ventilator devices and their acute need in the context of the COVID-19 pandemic. An initial triaging method that accurately identifies the need for mechanical ventilation in hospitalized patients with COVID-19 is needed. We aimed to investigate if a potentially deteriorating clinical course in hospitalized patients with COVID-19 can be detected using all X-ray images taken during hospitalization.

By: Anoop R Kulkarni, Ambarish M Athavale, Ashima Sahni, Shashvat Sukhal, Abhimanyu Saini, Mathew Itteera, Sara Zhukovsky, Jane Vernik, Mohan Abraham, Amit Joshi, Amatur Amarah, Juan Ruiz, Peter D Hart, http://orcid.org/0000-0001-6950-3341Hemant Kulkarni

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