A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays

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...

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Bibliographic Details
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
Format: Article
Language:English
Published: BMC 2023-05-01
Series:Critical Care
Subjects:
Pulmonary edema
Transpulmonary thermodilution
TPTD
Extravascular lung water
EVLWI
Chest X-ray
Online Access:https://doi.org/10.1186/s13054-023-04426-5

Internet

https://doi.org/10.1186/s13054-023-04426-5

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