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Showing articles 50 to 100 of 357 << Previous Next >>

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

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

Safety and Efficacy of Coma Induction Following First-Line Treatment in Status Epilepticus
Neurol 97:e564-e576, DeStefano, P.,et al, 2021

CNS Demyelinating Attacks Requiring Ventilatory Support With Myelin Oligodendrocyte Glycoprotein or Aquaporin-4 Antibodies
Neurol 97:e1351-e1358, Zhao-Fleming,H.H.,et al, 2021

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

Tapia Syndrome at the Time of the COVID-19 Pandemic
Neurol 95:312-313, Decavel, P.,et al, 2020

Guillain-Barre Syndrome Associated with SARS-CoV-2
NEJM 382:2574-2576, Tuscano, G.,et al, 2020

Myasthenic Crisis Demanding Mechanical Ventilation
Neurol 94:e299-e313, Neumann, B.,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

A Young Health Woman with Difficult-to-Wean Acute Ventilator Dependence
Neurol 94:e1340-e1343, Chandrashekhar, S.,et al, 2020

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

Neuropathy, Encephalopathy, Status Epilepticus, and Acute Intermittent Porphyria
Lancet 395:e101, Ahmed, M.A.,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

Neuropathological Features of Covid-19
NEJM doi:10.1056/NEJMc2019373, Solomon, I.H.,et al, 2020

Muscular Dystrophies
Lancet 394:2025-2038, Mercuri, E.,et al, 2019

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

Stroke After Transcatheter Aortic Valve Replacement
JAMA 321:2287-2289, Messe, S.R. & Ailawadi, G., 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

Stridor in Multiple System Atrophy
Neurol 93:630-639, Cortelli, P.,et al, 2019

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

Heart Transplantation in a Patient with Myotonic Dystrophy Type 1 and End-Stage Dilated Cardiomyopathy: A Short Term Follow-up
Acta Myologica 37:267-271, Papa, A.A.,et al, 2018

Management of Anticoagulants in Patients Undergoing Endoscopic Procedure
www.UptoDate.com, Dec, Kamath, P.S., 2018

Prosthetic Valve Endocarditis: Epidemiology, Clinical Manifestations, and Diagnosis
UptoDate June 2018, Karchmer, A.W. & Chu, V.H., 2018

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

Persistent Respiratory Failure Following Cardiac Arrest
Neurol 90:e2174-e2178, Fullam, T. & Sladky, J.H., 2018

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

A 35-year-old Woman with Diplopia, Ataxia, and Altered Mental Status
Neurol 91:e1942-e1946, Bauer, Z.,et al, 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

Off-Label use of Direct Oral Anticoagulants in Intracerebral Hemorrhage Patients with Prosthetic Valves
Stroke 48:3183-3186, Chaturvedi, S.,et al, 2017



Showing articles 50 to 100 of 357 << Previous Next >>