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Plasma concentration of glial fibrillary acidic protein can aid in detecting traumatic brain injury by identifying patients with negative findings on computed tomography scan who might need magnetic resonance imaging and additional follow-up

Plasma Marker May Help Detect Traumatic Brain Injury

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Plasma levels of glial fibrillary acidic protein higher in those with CT−, MRI+ versus CT−, MRI− findings
The proportion of paracentesis and thoracentesis procedures performed by radiologists is continuing to increase

Radiologists Performing More Paracenteses, Thoracenteses

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2004 to 2016 saw increase in paracentesis, thoracentesis procedures performed by radiologists
Long-term exposure to ambient air pollutants

Air Pollutants Tied to Significant Worsening of Emphysema

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Emphysema assessed quantitatively using CT imaging and lung function for patients in multiple U.S. cities
Deep natural language processing may be able to estimate the presence of active cancer

AI Tool Discerns Lung Cancer Outcomes From Imaging Reports

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Deep natural language processing used to detect presence of lung cancer and treatment response
Strategies for perfusion assessment necessary for critical limb ischemia diagnosis remain limited

Perfusion Assessment Key for Critical Limb Ischemia Diagnosis

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Emerging technologies may improve diagnosis and management for critical limb ischemia
Incorporating focused cardiac ultrasonography into clinical examination has greater sensitivity

Low Specificity Limits Use of Focused Cardiac Ultrasonography

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FoCUS may help rule out ventricular dysfunction, valvular disease in low-risk patients
From 1996 to 2016

Increase in Rates of Medical Imaging in Pregnancy in U.S., Canada

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Increases in the United States and Ontario, Canada, in CT rates, MRI rates, radiography rates
A staging system of β-amyloid accumulation may be useful for monitoring patients throughout the course of Alzheimer disease

Novel PET Staging System May Help Monitor Alzheimer Disease

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Positron emission tomography used to track stages of β-amyloid accumulation in vivo
For patients with visible lung nodules

Model Can Predict Lung Cancer in Patient With Visible Nodule on CT

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Combination of clinical and radiologic factors can reliably predict risk for incident lung cancer
Machine learning models of vessel features from coronary computed tomography angiography better discriminate patients with versus without subsequent death and cardiovascular events

AI Model Better Predicts CV Risk, Mortality Using Cardiac Imaging

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Vessel scores based on machine learning model that uses data from coronary CT angiography