The September issue of the Journal of the Neurological Sciences Vol 404 is now available online.
Artificial intelligence in neurocritical careNeurocritical care combines the management of extremely complex disease states with the inherent limitations of clinically assessing patients with brain injury. As the management of neurocritical care patients can be immensely complicated, the automation of data collection and basic management by artificial intelligence systems have garnered interest. In this opinion article, we highlight the potential artificial intelligence has in monitoring and managing several aspects of neurocritical care, specifically intracranial pressure, seizure monitoring, blood pressure, and ventilation. |
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Cost of disease-modifying therapies for multiple sclerosis: Is front-loading the answer?The literature on the cost-effectiveness of these is often confusing and contradictory. There is a lack of quality evidence enabling the comparison of different DMTs. This review looks at the different DMTs available for MS and attempts to draw some conclusions on their cost-effectiveness. It also considers the costs and benefits of front-loading the cost of treatment for MS by using more expensive and effective treatment earlier on.
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Cerebral imaging in adult mitochondrial disordersAmong the organs/tissues affected in mitochondrial disorders (MIDs), the brain is the second most frequently affected. Cerebral imaging may correlate with clinical findings but not necessarily. This review summarises and discusses current knowledge and recent advances concerning cerebral abnormalities on imaging in adult MIDs (≥18y).
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Impact of cerebral large-artery disease and blood flow in the posterior cerebral artery territory on cognitive functionThe purpose of this study was to elucidate the association of cerebral large artery disease (CLAD) with cerebral blood flow (CBF) in the posterior cerebral artery (PCA) territory and cognitive performance. We prospectively registered 60 patients with CLAD who had internal carotid or middle cerebral artery (MCA) with the degree of stenosis ≥50%. Automated brain segmentation was used to quantify CBF in the thalamus, hippocampus, and PCA and MCA territories. CBF of the PCA territory was significantly inversely correlated with the degree of stenosis in CLAD patients. Low CBF of the PCA territory was significantly associated with reduced cognitive and memory functions. |
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