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Alberta Stroke Program Early CT score
artificial intelligence
carotid artery occlusion, intracranial
CAT scan
CAT scan, abnormal
CAT scan, perfusion
cerebrovascular accident
cerebrovascular accident, acute management of
cerebrovascular accident, large ischemic core
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deep learning
electroencephalogram
electroencephalogram, automated
electroencephalogram, abnormalities of
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endovascular therapy, selection criteria
epilepsy
false positive
interobserver agreement
machine learning
middle cerebral artery, occlusion of
MRI
MRI, abnormal
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MRI, mismatch between DWI/FLAIR
neurologic disease, diagnoses of
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Rankin score
RAPID CT perfusion maps
review article
SCORE-AI
screening
seizure
thrombolysis, mechanical
treatment of neurologic disorder
Showing articles 0 to 50 of 226 Next >>

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

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

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

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

Endovascular Thrombectomy for Large Ischemic Core Stroke, A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Neurol 104:e213443, Liu,C.,et al, 2025

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

Anticoagulation or Antiplatelet Therapy for Device-Detected Atrial Fibrillation
NEJM 392:1749-1751, Gorey,S., 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

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

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

Perioperative Management of Anticoagulant and Antiplatelet Therapy
NEJM Evid doi:10.1056/EVIDna2200322, Douketis,J.D. & Spyropoulos,A.C., 2023

Perioperative Acute Ischemic Stroke in Patients with Atrial Fibrillation
Ann Neurol 94:321-329, Shu,L.et al, 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

Thrombectomy for Acute Ischaemic Stroke Without Advanced Imaging
Lancet 402:1724-1725, Kippel,D.W.J. & Roozenbeek, B, 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

Diagnosis, Workup, Risk Reduction of Transient Ischemic Attack in the Emergency Department Setting:A Scientific Statement From the American HEart Association
Stroke 54:e109-e121, Hardik,P.A.,et al, 2023

Improved Prospects for Thrombectomy in Large Ischemic Stroke
NEJM 388:1326-1328,1259,1272, Fayad,P., 2023

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

To Use Perfusion Imaging or Not in Patient Selection for Late Window Endovascular Thrombectomy?
Neurol 100:1039-1040, Katsanos,A.H.,et al, 2023

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

In Stroke, When is a Good Outcome Good Enough?
NEJM 386:1359-1361, Schwamm, L.H., 2022

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

Posterior Circulation Alberta Stroke Program Early Computed Tomography Score (pc-ASPECT) for the Evaluation of Cerebellar Infarcts
Neurologist 6:304-308, Altiparmak, T.,et al, 2022

Noncontrast Computed Tomography vs Computed Tomography Perfusion or Magnetic Resonance Imaging Selection in Late Presentation of Stroke with Large-Vessel Occlusion
JAMA Neurol 79:22-31, Nguyen, T.N.,et al, 2022

Thrombectomy for Anterior Circulation Stroke Beyond 6 h from Time Last Known Well (AURORA): A Systematic Review and Individual Patient Data Meta-Analysis
Lancet 399:249-258, Jovin, T.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

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

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

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

Eyes-Open Coma
Neurol 96:864-867, Kondziella, D. & Frontera, J.A., 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

Recent Administration of Iodinated Contrast Renders Core Infarct Estimation Inaccurate Using RAPID Software
AJNR 41:2235-2242, Copelan, A.Z.,et al, 2020



Showing articles 0 to 50 of 226 Next >>