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The primary aim of this study is to evaluate the effectiveness of multimodal brain monitoring technologies as both an early warning system and a prognostic tool in patients suffering from acute brain injuries. This research seeks to determine how effectively these tools can predict clinical outcomes and prevent complications by providing early alerts to healthcare professionals.
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Acute brain injury, including traumatic brain injury (TBI) and stroke, presents significant challenges in clinical management, primarily due to the complexity of the brain's response to injury and the critical timing required for effective intervention. Multimodal brain monitoring, which integrates various physiological data points like brain electrical activity, cerebral blood flow, and brain tissue oxygenation, offers a comprehensive view of a patient's cerebral status. This study builds on the premise that a better understanding and real-time monitoring of these variables can significantly improve patient outcomes by enabling timely and targeted interventions.
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Le Zhang; Ye Li
Data sourced from clinicaltrials.gov
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