Public articles linked to the same research event.
Current Neurology and Neuroscience Reports This review evaluates the current state of multimodal monitoring (MMM) technologies in traumatic brain injury (TBI), their clinical applications, and their emerging role in improving TBI management, focusing on real-time physiological data streams such as intracranial pressure, brain tissue oxygenation, arterial blood pressure, and electroencephalography; it suggests that integrating physiological variables with artificial intelligence and advanced analytics may enable earlier detection and prediction of adverse events such as seizures, brain hypoxic events, and excursions of cerebral hypertension, potentially reducing variability in TBI outcomes associated with secondary insults, while the optimal combination of monitoring modalities, interpretation of complex data streams, larger harmoni
This review evaluates the current state of multimodal monitoring (MMM) technologies in traumatic brain injury (TBI), their clinical applications, and their emerging role in improving TBI management, focusing on real-time physiological data streams such as intracranial pressure, brain tissue oxygenation, arterial blood pressure, and electroencephalography; it suggests that integrating physiological variables with artificial intelligence and advanced analytics may enable earlier detection and prediction of adverse events such as seizures, brain hypoxic events, and excursions of cerebral hypertension, potentially reducing variability in TBI outcomes associated with secondary insults, while the optimal combination of monitoring modalities, interpretation of complex data streams, larger harmoni
This review evaluates the current state of multimodal monitoring (MMM) technologies in traumatic brain injury (TBI), their clinical applications, and their emerging role in improving TBI management, focusing on real-time physiological data streams such as intracranial pressure, brain tissue oxygenation, arterial blood pressure, and electroencephalography; it suggests that integrating physiological variables with artificial intelligence and advanced analytics may enable earlier detection and prediction of adverse events such as seizures, brain hypoxic events, and excursions of cerebral hypertension, potentially reducing variability in TBI outcomes associated with secondary insults, while the optimal combination of monitoring modalities, interpretation of complex data streams, larger harmoni
This review evaluates the current state of multimodal monitoring (MMM) technologies in traumatic brain injury (TBI), their clinical applications, and their emerging role in improving TBI management, focusing on real-time physiological data streams such as intracranial pressure, brain tissue oxygenation, arterial blood pressure, and electroencephalography; it suggests that integrating physiological variables with artificial intelligence and advanced analytics may enable earlier detection and prediction of adverse events such as seizures, brain hypoxic events, and excursions of cerebral hypertension, potentially reducing variability in TBI outcomes associated with secondary insults, while the optimal combination of monitoring modalities, interpretation of complex data streams, larger harmoni