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Showing articles 0 to 50 of 235 Next >>

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

Paean to Physicians Patient Notes
JAMA Neurol 80:661-662, Caplan,L.R., 2023

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

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

Ethical and Quality Pitfalls in Electronic Health Records
Neurol 80:1057-1061, Bernat, J.L., 2013

Can Electronic Clinical Documentation Help Prevent Diagnostic Errors?
NEJM 362:1066-1069, Schiff,G.D. &Bates,D.W., 2010

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

Anticoagulation vs Antiplatelets Across Subgroups of Embolic Stroke of Undetermined Source
Neurol 103:e209949, Grannam,M.,et al, 2024

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

Anticoagulation after Ablation for Atrial Fibrillation
NEJM 385:466-468, Kadire, S.R., 2021

Implantable Cardiac Monitoring in the Secondary Prevention of Cryptogenic Stroke
Ann Neurol 88:946-955, Triantafyllou, S.,et al, 2020

Potential Cost-Effectiveness of Ambulatory Cardiac Rhythm Monitoring After Cryptogenic Stroke
Stroke 47:2380-2385, Yong, J.H.E.,et al, 2016

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

Reliability and Limitations of Automated Arrhythmia Detection in Telemetric Monitoring After Stroke
Stroke 46:560-563, Kurka, N.,et al, 2015

Cryptogenic Stroke and Underlying Atrial Fibrillation
NEJM 370:2478-2486,2532, Sanna, T.,et al, 2014

Detection of Atrial Fibrillation After Ischemic Stroke or Transient Ischemic Attack
Stroke 45:520-526,355, Kishore, A.,et al, 2014

Evaluation of Cryptogenic Stroke with Advanced Diagnostic Techniques
Stroke 45:1186-1194, Bang, O.Y.,et al, 2014

Prolonged Cardiac Monitoring for Detection of Paroxysmal Atrial Fibrillation After Cerebral Ischemia
Stroke 45:1208-1214, Rabinstein, A.A., 2014

Evaluation of Patients for Paroxysmal Atrial Fibrillation after Ischemic Stroke
Stroke 44:e168-e170, Sundararajan, K.,et al, 2013

Occult Atrial Fibrillation in Cryptogenic Stroke
Stroke 44:1449-1452, Ritter, M.,et al, 2013

Incidence of Atrial Fibrillation Detected by Implantable Loop Recorders in Unexplained Stroke
Neurol 80:1546-1550, Corter, P.,et al, 2013

Insertable Cardiac Event Recorder in Detection of Atrial Fibrillation After Cryptogenic Stroke
Stroke 44:2007-2009, Etgen, T.,et al, 2013

Looking for Atrial Fibrillation with Insertable Cardiac Monitors-Is 1 Year Long Enough and Does it Matter?
, Buck,B.H.,et al,

Wearable Digital Health Technology for Epilepsy
NEJM 390:736-745, Donner,E.,et al, 2024

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

Seizures When Exiting a Bath, A Rare Type of Reflex Epilepsy
Neurol 103:e210025, Pascarella,A.,et al, 2024

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

Vestibular Drop Attacks Diagnosed with Valuable Insights from CCTV
Lancet 404:787-788, Joffily,L.,et al, 2024

Infective Endocarditis After a Splenectomy:A Complex Association
Cureus doi:10.7759/CURROS.69143, Saleh,J.,et al, 2024

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

Patient Travel Distance to Neurologist Visits
Neurol 101:e1807-e1820, Lin,C.C.,et al, 2023

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

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

A Managed Care System with Telemedicine Support for Neurological Emergencies
Ann Neurol 93:511-512, Erdur,H.,et al, 2023

Digital Minimalism-An Rx for Clinical Burnout
NEJM 388:1158-1159, Singh,N.,et al, 2023

Clinicopathologic Conference, Functional Seiaures
NEJM 388:1210-1218, Case 10-2023, 2023

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

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

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

Global Teleneurology
Ann Neurol 91:443-444, , 2022

American Academy of Neurology Telehealth Position Statement
Neurol 97:334-339, Hatcher-Martin, J.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

Reperfusion Treatment and Stroke Outcomes in Hospitals with Telestroke Capacity
JAMA Neurol 78:527-535, Wilcock, A.D.,et al, 2021

Differential Diagnosis Checklists Reduce Diagnostic Error Differentially: A Randomised Experiment
Med Educ 55:1172-1182, Kammer, J.E.,et al, 2021

Telemedicine in Neurology
Neurol 94:30-38,16, Hatcher-Martin, J.M.,et al, 2020



Showing articles 0 to 50 of 235 Next >>