Neurology Specific Literature Search   
 
[home][thesaurus]
    

Differential
(Click to cross reference)
advances in neurology
adverse drug reaction
Alberta Stroke Program Early CT score
algorithm
Alzheimer's disease
amyloid
amyloid deposition
amyloid imaging
angiitis
angiitis, granulomatous of CNS
angiitis, isolated of CNS
angiography, cerebral
angiography, cerebral, negative
anticoagulant, self-monitoring
anticoagulant, treatment
artificial intelligence
aspartame
attention deficit disorder with hyperactivity
barbiturate anesthesia
barbiturate anesthesia, status epilepticus
behavior
behavioral disorder
benchmark
bias
billing
biologic markers
brain biopsy
burst suppression pattern, electroencephalogram
callosal angle
carotid artery occlusion, intracranial
carpal tunnel syndrome
CAT scan
CAT scan, abnormal
CAT scan, angiography
CAT scan, chest
CAT scan, emission
CAT scan, emission, abnormal
CAT scan, perfusion
cerebral edema
cerebrospinal fluid, abnormal
cerebrovascular accident
cerebrovascular accident, acute management of
cerebrovascular accident, large ischemic core
cerebrovascular accident, nontreatment of
cerebrovascular accident, prevention of
cerebrovascular accident, secondary prevention
cerebrovascular accident, severity
cerebrovascular accident, surgical treatment of
cerebrovascular accident, thrombolytic agents in treatment
cerebrovascular accident, time to treatment
cerebrovascular accident, volume
chatbots
checklists
chest x-ray
chest x-ray, abnormal
children
Clinical Pathologic Conference(C.P.C.)
cognition
coma, medically induced
compliance
complications
computer simulation
computers, handheld
computers, medicine and
computers, neurologic diagnosis and
confabulation
controversies in neurology
core competencies
coronavirus
COVID-19
craniectomy, decompressive
cyclophosphamide
decision aids
decision analysis
deep learning
diet
differential diagnosis
differential diagnosis generators
digital health
digital technology
disinformation
drug interactions
dystonia
efficacy
electroencephalogram
electroencephalogram, automated
electroencephalogram, abnormalities of
electroencephalogram, ambulatory cassette monitoring
electroencephalogram, brain mapping
electronic consultations
electronic differential diagnosis
electronic health records
emergencies, neurologic
emergencies, neurosurgical
emergency physician
encephalitis
encephalitis, autoimmune
encephalitis, unknown etiology
encephalopathy
encephalopathy, progressive
endocarditis, native-valve
endovascular therapy
endovascular therapy, selection criteria
EPIC electronic medical record
epidemiology of neurology
epilepsy
epileptic encephalopathy
ergonomics
ethics in neurology
evidence-based research
faciobrachial dystonic seizure
false positive
fatigue
febrile infection-related epilepsy syndrome
fever
fibrinolytic agents
fibrinolytic agents, utilization
fibrinolytic therapy, selection criteria
fibrinolytic therapy, timing of administration
florbetapir
fundus, abnormality of
funduscopic exam
Generative Pretrained Transformer 4
glioblastoma multiforme(astrocytoma Gr.III)
glucose level, serum
Google
hallucination
hand pain
headache
headache, severe
hippocampus, hyperintense
human extinction
hydrocephalus
hydrocephalus, normal pressure
hyperactivity
hypoglycorrhachia
hyponatremia
immunotherapy
inappropriate antidiuretic(A.D.H.)hormone
informatics
information overload
information technology
informed consent
intellectual deficit
intellectual deterioration
internet
interobserver agreement
intracerebral hemorrhage
intravenous drug abuse
Isabel
ketogenic diet
leucine rich glioma inactivated 1 antibodies
level of consciousness, decreased
limbic encephalitis
machine learning
medical app
medical education
medical errors
medical information
medical record
medical-legal aspects of neurology
memory, impairment of
meningeal enhancement
meningitis
meningitis, candida
meningitis, fungal
meningitis, neutrophilic
meningitis, neutrophilic, persistent
meningitis, spinal fluid smear and culture-negative
meningitis, treatment of, empirical
mental retardation
mental status, abnormal
mesial temporal sclerosis
middle cerebral artery territory infarction, malignant
middle cerebral artery, occlusion of
misalignment
misdiagnosis
misinformation
mortality
movement disorder
movement disorder, paroxysmal
MRI
MRI, abnormal
MRI, angiography
MRI, automated reading
MRI, contrast enhanced
MRI, diffusion weighted
MRI, early changes in CVA
MRI, mismatch between DWI/FLAIR
MRI, muscle
MRI, negative
MRI, vessel wall enhancement
muscle pain
muscular dystrophy
neck pain
neoplasm, metastatic
neoplasm, metastatic to CNS
neoplasm, metastatic to CNS-solitary
Nervline
neurologic consultation
neurologic disease
neurologic disease, diagnoses of
neurologic education
neurologic examination
neurologic examination, focal
neurologic examination, video
neurologic practice
neurologic testing
NeurologicDx
neurologist
neurology residency
neurology teaching
NeurologyINDEX
neuropathology
NIH stroke scale
occupational neurologic disorders
ocular fundus photography
old age, neurology of
overuse syndrome
pain
pandemic
papilledema
Parkinson disease
Parkinson disease, treatment of
paroxysmal neurologic disorder
patient information and support
phenobarbital
pitfalls
pleocytosis of cerebrospinal fluid
potassium channel antibodies
practice guidelines
precipitating factors
prevention of neurologic disorders
prognosis
progressive neurologic disorder
psychological testing
psychological testing, children
quality of care
Rankin score
RAPID CT perfusion maps
rapidly progressing neurologic illness
recurrent
repetition strain injury
review article
risk factors
risk-benefit assessment
saccharin
safety
SCORE-AI
screening
search engine
seizure
seizure, automated diagnosis
seizure, children
seizure, complications following
seizure, diagnosis of
seizure, drug resistance
seizure, etiology of
seizure, febrile
seizure, focal
seizure, hysterical
seizure, nonconvulsive
seizure, photosensitive
seizure, precipitating factors
seizure, psychomotor-frontal lobe
seizure, psychomotor-temporal lobe
seizure, recurrent
seizure, stimulus sensitive
seizure, treatment of
smartphone
spinal cord, lesion of
status epilepticus
status epilepticus, intractable
steroid therapy, CNS treatment and complications with
stroke team
sucrose
talk
teleconsulting
telemedicine
teleneurology
telephone, cellular
teleradiology
telestroke
temporal lobe, status
tendonitis
thrombolysis, mechanical
tissue plasminogen activator, intravenous
treatment of neurologic disorder
treatment, empirical
tumefactive lesion
validation
vasculitides
videoconferencing
virtual assistant
virtual house calls
virtual learning
visual field defect
Showing articles 0 to 50 of 947 Next >>

Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis
AJNR 46:33-40, Lee,J.,et al, 2025

FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
BMJ 388:e081554, Lekadir,K.,et al, 2025

Calibrating AI Reliance - A Physicians Superhuman Dilemma
JAMA Health Forum 6:e250106, Patil,S.V.,et al, 2025

Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
Neurologist 30:155-163, Alessandro,L.,et al, 2025

General AI May Revolutionize Neurology 0 Or It Might be Bad
JAMA Neurol doi 10.1001/JAMANEUROL.2025.0905, Westover,M.B. & Westover,A.M., 2025

Large Language Models and the Degredation of the Medical Record
NEJM 391:1561-1564, McCoy,L.G.,et al, 2024

How Patients Are Using AI
BMJ 387:q2393, Stokel-Walker,C., 2024

Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024

Hidden Metastatic Lung Tumour Diagnosed by AI
Lancet 403:1299, Muroya,D.,et al, 2024

Primary Central Nervous System Vasculitis
NEJM 391:1028-1037, Salvarani,C.,et al, 2024

FTC Regulation of AI-Generated Medical Disinformation
JAMA doi:10.1001/JAMA.2024.19971;2024, Haupt,C.E., & Marks,M., 2024

Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
NEjM 388:1201-1208,1220, Haug,C.H. & Drazen,J.M., 2023

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
NEJM 388:1233-1239, Lee,P., et al, 2023

The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023

Transformation of Undergraduate Medical Education in 2023
JAMA 330:1521-1522, Chang,B.S., 2023

Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA 330:78-79, Kanjee,Z.,et al, 2023

Improving Neurology Clinical Care with Natural Language Processing Tools
Neurol 101:1010-1018, Ge,W.,et al, 2023

Large Language Models in Neurology Research and Future Practice
Neurol 101:1058-1067, Romano,M.F.,et al, 2023

Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?
JAMA doi.10.1001, Nov, Wachter R.M. & Brynjolfsson,E., 2023

Use of GPT-4 to Diagnose Complex Clinical Cases
NEJM AI doi:10.1056/AIp2300031, Eriksen,A.V.,et al, 2023

Study Finds ChatGPT Provides Inaccurate Responses to Drug Questions-Press Release
Am Soc Health Sys Pharm, Dec 5, Grossman,S., 2023

Evaluation of Medical Decision Support Systems (DDX Generators) Using Real Medical Cases of Varying Complexity and Origin
BMC Med Inform Dcis Mak 22:254, Fritz,P.,et al, 2022

Should Electronic Differential Diagnosis Support be Used Early or Late in the Diagnostic Process? A Multicentre Experimental Study of Isabel
BMJ Qual Saf doi:10.1136/bmjqs-2021-013493, Sibbald, M.,et al, 2022

Reaching 95%: Decision Support Tools are the Surest Way to Improve Diagnosis Now
BMJ Qual Saf doi:10.1136/bmjqs-2021-014033, Graber, M.L., 2022

Endovascular Therapy for Acute Stroke with a Large Ischemic Region
NEJM 386:doi.10.1056/NEJMoa2118191, Yoshimura, S.,et al, 2022

Ethical Considerations in Surgical Decompression for Stroke
Stroke 53:2676-2682, Shlobin, N.A.,et al, 2022

Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,et al, 2022

External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke
Ann Neurol 92:943-957, Mair,G.,et al, 2022

Next-Generation Artificial Intelligence for Diagnosis
JAMA doi:10.1001/JAMA/2021.22396, Dec, Adler-Milstein, J.,et al, 2021

Assessing the Utility of a Differential Diagnostic Generator in UK General Practice: A Feasibility Study
Diagnosis 8:91-99, Cheraghi-Sohi, S.,et al, 2021

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

Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
AJNR 42:838-844, Shin, I.,et al, 2021

The First Examination of Diagnostic Performance of Automated Measurement of the Callosal Angle in 1856 Elderly Patients and Volunteers Indicates that 12.4% of Exams Met the Criteria for Possible Normal Pressure Hydrocephalus
AJNR 42:1942-1948, Morzage, M.,et al, 2021

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

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

Clinicopathologic Conference, LGI1 autoimmune encephalitis
NEJM 382:1943-1950, Case 15-2020, 2020

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

Reimagining Specialty Consultation in the Digital Age the Potential Role of Targeted Automatic Electronic Consultations
JAMA doi:10.1001/JAMA.2019.6607, Wachter, R.M.,et al, 2019

Automated Seizure Detection Accuracy for Ambulatory EEG Recordings
Neurol 92:e1540-e1546, Gonzalez Otarula, K.A.,et al, 2019

Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hours
Neurol 90:e1570-e1577, Wouters, A.,et al, 2018

A Fatal Case of Undiagnosed Candida Meningitis-Role of Computer-assisted Diagnosis
Neurologist 23:138-140, Finelli, P.F., 2018

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

National Randomized Controlled Trial of Virtual House Calls for Parkinson Disease
Neurol 89:1152-1161,1103, Beck, C.A.,et al, 2017

Computer-Assisted Diagnostic Checklist in Clinical Neurology
Neurologist 21:23-27, Finelli,P.F. and McCabe, A.L., 2016

Evolutionary Pressures on the Electronic Health Record
JAMA 316:923-924, Zulman, D.M.,et al, 2016



Showing articles 0 to 50 of 947 Next >>