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The goal of this observational study is to develop and validate artificial intelligence (AI) algorithms that use subhairline EEG (a simplified EEG patch placed on the forehead and behind the ears) to predict neurological outcome and to detect intracranial hemorrhage. The study consists of two use cases: (UC1) adults (18 years or older) in postanoxic coma after cardiac arrest who are admitted to the intensive care unit (ICU), and UC2) adults with suspected stroke or suspected subarachnoid hemorrhage (SAH) who present to the emergency department. The primary objectives are: * UC1: to develop and validate an AI-algorithm for outcome prediction in postanoxic coma at 24h after CA based on subhairline EEG. * UC2: to develop and validate an AI-algorithm for detection of ICH among patients with (suspected) stroke based on subhairline EEG and clinical symptoms. Participants will: * UC1: receiv
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