A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays
Abstract Background A quantitative assessment of pulmonary edema is important because the clinical severity can range from mild impairment to life threatening. A quantitative surrogate measure, although invasive, for pulmonary edema is the extravascular lung water index (EVLWI) extracted from the tr...
Main Authors: | Dominik Schulz, Sebastian Rasch, Markus Heilmaier, Rami Abbassi, Alexander Poszler, Jörg Ulrich, Manuel Steinhardt, Georgios A. Kaissis, Roland M. Schmid, Rickmer Braren, Tobias Lahmer |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-05-01
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Series: | Critical Care |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13054-023-04426-5 |
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