AIMC Topic: Coma
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Auditory stimulation and deep learning predict awakening from coma after cardiac arrest.
Brain : a journal of neurology
Feb 13, 2023
Assessing the integrity of neural functions in coma after cardiac arrest remains an open challenge. Prognostication of coma outcome relies mainly on visual expert scoring of physiological signals, which is prone to subjectivity and leaves a considera...
Outcome Prediction in Postanoxic Coma With Deep Learning.
Critical care medicine
Oct 1, 2019
OBJECTIVES: Visual assessment of the electroencephalogram by experienced clinical neurophysiologists allows reliable outcome prediction of approximately half of all comatose patients after cardiac arrest. Deep neural networks hold promise to achieve ...
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