Neurology Specific Literature Search   
 
[home][thesaurus]
    

Differential
(Click to cross reference)
advances in neurology
Alberta Stroke Program Early CT score
algorithm
Alzheimer's disease
amyloid
amyloid deposition
amyloid imaging
anticoagulant, self-monitoring
anticoagulant, treatment
artificial intelligence
billing
CAT scan, emission
CAT scan, emission, abnormal
CAT scan, perfusion
cerebrovascular accident
cerebrovascular accident, acute management of
cerebrovascular accident, prevention of
cerebrovascular accident, secondary prevention
cerebrovascular accident, thrombolytic agents in treatment
cerebrovascular accident, time to treatment
compliance
complications
computers, handheld
computers, medicine and
computers, neurologic diagnosis and
coronavirus
COVID-19
decision analysis
deep learning
electronic health records
endocarditis, native-valve
endovascular therapy
endovascular therapy, selection criteria
EPIC electronic medical record
fibrinolytic agents
fibrinolytic therapy, timing of administration
florbetapir
fundus, abnormality of
funduscopic exam
information technology
interobserver agreement
machine learning
medical app
middle cerebral artery, occlusion of
misdiagnosis
MRI
MRI, abnormal
MRI, early changes in CVA
MRI, mismatch between DWI/FLAIR
MRI, muscle
muscular dystrophy
neurologic consultation
neurologic disease, diagnoses of
neurologic education
neurologic examination
neurologist
ocular fundus photography
pandemic
papilledema
prognosis
RAPID CT perfusion maps
review article
screening
smartphone
telemedicine
teleneurology
telestroke
treatment of neurologic disorder
videoconferencing
virtual learning
Showing articles 0 to 9 of 9

Digital Health
Stroke 52:351-355, Silva, G.S. & Schwamm, L.H., 2021

Machine Learning Approach to Identify Stroke Within 4.5 Hours
Stroke 51:860-866, Lee, H.,et al, 2020

Accuracy of a Machine Learning Muscle MRI - Based Tool for the Diagnosis of Muscular Dystrophies
Neurol 94:e1094-e1102, Verdu-Diaz, J.,et al, 2020

Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020

Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data
AJNR 41:980-986, Reith, F.,et al, 2020

Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
Neurol 94:1077-1087, Grossman, S.N.,et al, 2020

Artificial Intelligence Applications in Stroke
Stroke 51:2573-2579, Mouridsen, K.,et al, 2020

Automated ASPECTS in Acute Ischmeic Stroke: A Comparative Analysis with CT Perfusion
AJNR 40:2033-2038, Sundaram, V.K.,et al, 2019

Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017



Showing articles 0 to 9 of 9