Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients

JR Vitt, S Mainali - Seminars in Neurology, 2024 - thieme-connect.com
The utilization of Artificial Intelligence (AI) and Machine Learning (ML) is paving the way for
significant strides in patient diagnosis, treatment, and prognostication in neurocritical care …

Myths and methodologies: Assessment of dynamic cerebral autoregulation by the mean flow index

MH Olsen, CG Riberholt, RMG Berg… - Experimental …, 2024 - Wiley Online Library
The mean flow index—usually referred to as Mx—has been used for assessing dynamic
cerebral autoregulation (dCA) for almost 30 years. However, concerns have arisen …

Update in Pediatric Neurocritical Care: What a Neurologist Caring for Critically Ill Children Needs to Know

V Plante, M Basu, JV Gettings, M Luchette… - Seminars in …, 2024 - thieme-connect.com
Currently nearly one-quarter of admissions to pediatric intensive care units (PICUs)
worldwide are for neurocritical care diagnoses that are associated with significant morbidity …

Neuromonitoring in neurocritical care for traumatic brain injury in the Thai context: Neuromonitoring for traumatic brain injury in Thailand

P Boontoterm, S Sakoolnamarka, P Nakla-or… - Clinical Critical …, 2024 - he02.tci-thaijo.org
The purposes of this review were to identify the incidence and types of traumatic brain injury
(TBI) in Thailand, and recommend neuro-monitoring for limited resources in Thai patients …

[PDF][PDF] Recent Trends and Advances in Neurocritical Care Monitoring

N Datta - scholar.archive.org
Neurocritical care is a subspecialty that manages critically ill patients with neurological
disorders or injuries. An essential component of it is neuromonitoring, which aims to assess …