Clinical Trial: AI-based Algorithm Development for Improved Diagnostics in the Intensive Care and Acute Stroke Setting Using Electroencephalography

U.S., Oct. 22 -- ClinicalTrials.gov registry received information related to the study (NCT07886957) titled 'AI-based Algorithm Development for Improved Diagnostics in the Intensive Care and Acute Stroke Setting Using Electroencephalography' on Oct. 14.

Brief Summary: 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 ...