AIMC Topic: Deep Sedation

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

NeuroImage Oct 29, 2019
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...
Humans Neural Networks, Computer Machine Learning Brain Female Aged Young Adult Adult Male Middle Aged Functional Neuroimaging Adolescent Child Support Vector Machine Magnetic Resonance Imaging Anesthesia, General Wakefulness Rest Unconsciousness Persistent Vegetative State Consciousness Disorders Conscious Sedation Deep Sedation
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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 Jan 15, 2021
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...
Humans Retrospective Studies Female Aged Adult Endoscopy Male Middle Aged Decision Support Systems, Clinical Hypnotics and Sedatives Natural Language Processing Ambulatory Care Medication Errors Conscious Sedation Deep Sedation
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