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Deep Sedation

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Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.

NeuroImage 31672663
Determining the level of consciousness in patients with disorders of consciousness (DOC) remains challenging. To address this challenge, resting-state fMRI (rs-fMRI) has been widely used for detecting the local, regional, and network activity differe...
Adolescent Adult Aged Anesthesia, General Brain Child Conscious Sedation Consciousness Disorders Deep Sedation Female Functional Neuroimaging Humans Machine Learning Magnetic Resonance Imaging Male Middle Aged Neural Networks, Computer Persistent Vegetative State Rest Support Vector Machine Unconsciousness Wakefulness Young Adult
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Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

Journal of the American Medical Informatics Association : JAMIA 33175157
OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decisi...
Adult Aged Ambulatory Care Conscious Sedation Decision Support Systems, Clinical Deep Sedation Endoscopy Female Humans Hypnotics and Sedatives Male Medication Errors Middle Aged Natural Language Processing Retrospective Studies
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