Neurology Specific Literature Search   
 
[home][thesaurus]
    

Differential
(Click to cross reference)
adverse drug reaction
artificial sweetener
aspartame
attention deficit disorder with hyperactivity
behavior
behavioral disorder
body mass index
cerebrovascular accident
cerebrovascular accident, etiology
cerebrovascular accident, postpartum
cerebrovascular accident, women
coronary artery disease
dementia
diet
electroencephalogram
electroencephalogram, abnormalities of
electroencephalogram, spike activity
gender
headache
hyperactivity
migraine
migraine, foods causing
obesity
Parkinson disease
psychological testing
psychological testing, children
risk factors
saccharin
seizure
seizure, children
seizure, petit mal
small vessel disease
sucralose
sucrose
vascular headache, food causing
Showing articles 0 to 50 of 340 Next >>

Artificially Sweetened Beverages and Stroke, Coronary Heart Disease, and All-Cause Mortality in the Womens Health Initiative
Stroke 50:555-562,549, Mossavar-Rahmani, Y.,et al, 2019

Sugar- and Artificially Sweetened Beverages and the Risks of Incident Stroke and Dementia
Stroke 48:1139-1146, Pase, M.P.,et al, 2017

Aspartame, Behavior, and Cognitive Function in Children with Attention Deficit Disorder
Pediatrics 93:70-75, 127-1281994., Shaywitz,B.A.,et al, 1994

Aspartame Has no Effect on Seizures or Epileptiform Discharged in Epileptic Children
Ann Neurol 35:98-103, Shaywitz,B.A.,et al, 1994

Effects of Diets High in Sucrose or Aspartame on the Behavior and Cognitive Performance of Children
NEJM 330:301-307, 3551994., Wolraich,M.L.,et al, 1994

Aspartame Ingestion and Headaches:A Randomized Crossover Trial
Neurol 44:1787-1793, VanDenEeden,S.K.,et al, 1994

Aspartame Use in Parkinson's Disease
Neurol 43:611-613, Karstaedt,P.J.&Pincus,J.H., 1993

Aspartame Exacerbates EEG Spike-Wave Discharge in Children with Generalized Absence Epilepsy:A Double-Blind Study
Neurol 42:1000-1003, Camfield,P.R.,et al, 1992

Aspartame and Headache
NEJM 318:1200-1202, Lipton,R.B.,et al, 1988

Aspartame & Susceptibility to Headache
NEJM 317:1181-1185, Schiffman,S.S.,et al, 1987

Migraine Provoked by Aspartame
NEJM 314:456, John,D.R., 1986

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

A 56-Year-Old Woman with New-Onset Hoarsement and Dysphagia
Neurol 104:e213363, McAree,M. & Frontera, J.A., 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

Cerebrovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement:A Review
Stroke 55:2754-2764, Patel,K.P.,et al, 2024

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

Infective Endocarditis
Lancet 404:377-392, Li,M.,et al, 2024

Timing of Anticoagulation Resumption and Risk of Ischemic and Hemorrhagic Complications in Patients with ICH and Mechanical Heart Valves
Neurol 103:e209664, Sakusic,A.,et al, 2024

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

A 22-Year-Old Woman with Episodic Weakness and Jaundice
Neurol 103:e210018, Rathinasbapathi,M.,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

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

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

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

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

Does Capturing Debris During TAVR Prevent Strokes?
NEJM 387:1318-1319, Carroll, J.D. & Saver, J.L., 2022

Spontaneous Intracerebral Hemorrhage
NEJM 387:1589-1596, Sheth, K.N., 2022

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

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

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



Showing articles 0 to 50 of 340 Next >>