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Showing articles 0 to 33 of 33

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

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

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

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

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

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

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

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

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

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

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

Neurological Autoantibody Prevalence in Epilepsy on Unknown Etiology
JAMA Neurol 74:397-402,384, Dubey, D.,et al, 2017

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

The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis
PLoS ONE 11:e0148991, Riches, N.,et al, 2016

Automated Differentiation between Epileptic and Nonepileptic Convulsive Seizures
Ann Neurol 77:348-351, Beniczky, S.,et al, 2015

Teaching the Next Generation of Neurologists
Neurol 72:657-663, Elkind, M.S.V., 2013

NeurologicDx - Internet Based Differential Diagnostic Checklist in Clinical Neurology
Ann Neurol 74:S5, Finelli, P.F. & McCabe, A.L., 2013

Untangling the Web - Patients, Doctors, and the Internet
NEJM 362:1063-1066, Hartzband,P. &Groopman,J., 2010

Agreement Regarding Diagnosis of Transient Ischemic Attach Fairly Low Among Stroke-Trained Neurologists
Stroke 41:1367-1370, Castle,J., et al, 2010

Diagnostic Usefulness of the ABCD Score to Distinguish Transient Ischemic Attack and Minor Ischemic Stroke From Noncerebrovascular Events: The North Dublin TIA Study
Stroke 40:3449-3454, Sheehan,O.,et al, 2009

Clinical Prediction Rule for Identifying Children With Cerebrospinal Fluid Pleocytosis at Very Low Risk of Bacterial Meningitis
JAMA 297:52-60, Nigrovic,L.E.,et al, 2007

Primary Central Nervous System Vasculitis: Analysis of 101 Patients
Ann Neurol 62:442-451,430, Salvarani,C.,et al, 2007

Aneurysmal Subarachnoid Hemorrhage
NEJM 354:387-396, Suarez,J.I.,et al, 2006

Googling for a Diagnosis--Use of Google as a Diagnostic Aid: Internet Based Study
BMJ 333:1143-1145, Tang,H. &Ng,J.H.K., 2006

The Internet
JNNP 73:619-628, Al-Shahi,R.,et al, 2002



Showing articles 0 to 33 of 33