Deep learning of early brain imaging to predict post-arrest electroencephalography

Guidelines recommend use of computerized tomography (CT) and electroencephalography (EEG) in post-arrest prognostication. Strong associations between CT and EEG might obviate the need to acquire both modalities. We quantified these associations via deep learning. We performed a single-center, retros...

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Veröffentlicht in:	Resuscitation 2022-03, Vol.172, p.17-23
Hauptverfasser:	Elmer, Jonathan, Liu, Chang, Pease, Matthew, Arefan, Dooman, Coppler, Patrick J., Flickinger, Katharyn L., Mettenburg, Joseph M., Baldwin, Maria E., Barot, Niravkumar, Wu, Shandong
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain - diagnostic imaging Brain injury Cardiac arrest CT imaging Deep Learning Electroencephalography Electroencephalography - methods Humans Machine learning Neuroimaging Prognosis Retrospective Studies
Online-Zugang:	Volltext
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