The location of a lesion plays a more critical role in long-term functional outcomes after acute ischemic stroke than its size
MR WITNESS: Imaging can be used to expand treatment options for acute ischemic stroke patients with unwitnessed symptom onsets
MRI and computer algorithms can be used to improve diagnosis and care of comatose cardiac arrest patients
Machine learning algorithms can be used to predict tissue outcome and treatment response after acute ischemic stroke
Preserved structural integrity may provide insight into which patients may wakeup despite current poor clinical findings
Resting state functional MRI may be able to improve the diagnosis, prognosis and care of comatose cardiac arrest patients
Better detection of disturbed brain perfusion can lead to improved patient outcomes
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