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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedPruitt P, Naidech A, Ornam J
A natural language processing algorithm to extract characteristics of subdural hematoma from head CT reports.
Researchers created a natural language processing (NLP) algorithm to predict radiographic characteristics of subdural hematomas (SDH). The NLP was used to extract data from cranial computed tomography (CT) scan reports for patients with SDH. The results were measured for accuracy compared to cranial CT scan interpretations by board-certified attending radiologists and data coded by two ED physicians.. Output performance was considered high, with an algorithm accuracy of 0.84 for side of largest SDH, 0.88 for thickness of largest SDH, and 0.92 for size of midline shift.
AHRQ-funded; HS000078.
Citation: Pruitt P, Naidech A, Ornam J .
A natural language processing algorithm to extract characteristics of subdural hematoma from head CT reports.
Emerg Radiol 2019 Jun;26(3):301-06. doi: 10.1007/s10140-019-01673-4..
Keywords: Diagnostic Safety and Quality, Imaging, Trauma
McDonald V, Hauner KK, Chau A
Networks underlying trait impulsivity: evidence from voxel-based lesion-symptom mapping.
In order to determine the extent to which impulsivity and its components share a common network, a voxel-based lesion-symptom mapping analysis was performed in a large sample of patients with focal, penetrating traumatic brain injuries. The researchers found that heightened global impulsivity was associated with damage to multiple areas in bilateral prefrontal cortex , left superior, middle and inferior temporal gyrus, and left hippocampus.
AHRQ-funded; HS023011.
Citation: McDonald V, Hauner KK, Chau A .
Networks underlying trait impulsivity: evidence from voxel-based lesion-symptom mapping.
Hum Brain Mapp 2017 Feb;38(2):656-65. doi: 10.1002/hbm.23406.
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Keywords: Brain Injury, Imaging, Trauma
Easter JS, Haukoos JS, Meehan WP
Will neuroimaging reveal a severe intracranial injury in this adult with minor head trauma?: The rational clinical examination systematic review.
The study objective was to assess systematically the accuracy of symptoms and signs in adults with minor head trauma in order to identify those with severe intracranial injuries. It found that combinations of history and physical examination features in clinical decision rules can identify patients with minor head trauma at low risk of severe intracranial injuries.
AHRQ-funded; HS017526.
Citation: Easter JS, Haukoos JS, Meehan WP .
Will neuroimaging reveal a severe intracranial injury in this adult with minor head trauma?: The rational clinical examination systematic review.
JAMA 2015 Dec 22-29;314(24):2672-81. doi: 10.1001/jama.2015.16316..
Keywords: Falls, Brain Injury, Imaging, Trauma, Diagnostic Safety and Quality