Machine learning study associates discrete neuropsychological testing profiles with neurodegeneration
Machine learning models assess intraoperative tissue perfusion
Promising results could lead to improved screening, better outcomes
Model relies on analysis of peri-ictal scalp EEG data, promising wide applicability
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First prognostic tool of its kind for a challenging, debilitating condition
Pairing machine learning with multi-omics revealed potential therapeutic targets
How the tool could help physicians alter management in real time
Multicenter collaboration aims to facilitate tracking of neurological activity deep within tissue
A preview of Cleveland Clinic’s emerging AI platform for spine care decision-making
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