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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
First prognostic tool of its kind for a challenging, debilitating condition
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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
Hosting a ‘hackathon’ kept team members connected and broadened learning while adapting to a remote work setting
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