Prognostication in Neurocritical Care : CONTINUUM: Lifelong Learning in Neurology
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OBJECTIVE Management of stroke due to large vessel occlusion (LVO) has undergone
unprecedented change in the past decade. Effective treatment with thrombectomy has …

Background To facilitate comparative research, it is essential for the fields of neurocritical
care and rehabilitation to establish common data elements (CDEs) for disorders of …

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 …

Predicting the short-and long-term outcomes of extremely preterm infants remains a
challenge. Multivariable prognostic models might be valuable tools for clinicians, parents …

Many patients hospitalized after severe acute brain injury are comatose and require life-
sustaining therapies. Some of these patients make favorable recoveries with continued …

Older adults account for a disproportionate share of the morbidity and mortality after
traumatic brain injury (TBI). Predicting functional and cognitive outcomes for individual older …

This manuscript explores the international variability in the diagnosis and management of
disorders of consciousness (DoC). The identification, evaluation, intervention, exploration …

Background Shared decision-making is a joint process where patients, or their surrogates,
and clinicians make health choices based on evidence and preferences. We aimed to …

Purpose of review The A2F intensive care unit (ICU) liberation bundle is a multi-component
management strategy that has been shown to improve hospital survival and reduce rates of …