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Showing articles 0 to 50 of 134 Next >>

Filter Applied: neurologic disease,diagnoses of (Click to remove)

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

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

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

Guidelines in Action: Worse Headache of Life...Yesterday
Stroke 54:e488-e491, Albin,C.S.W., 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

Spectrum of Neuroradiologic Findings Associated with Monogenic Interferonopathies
AJNR 43:2-10, Benjamin, P.,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

Stroke Mimics in the Acute Setting: Role of Multimodal CT Protocol
AJNR 43:216-222, Prodi, E.,et al, 2022

Magnetic Resonance Imaging or Computed Tomography for Suspected Acute Stroke: Association of Admission Image Modality with Acute Recanalization Therapies, Workflow Metrics, and Outcomes
Ann Neurol 92:184-194, Fischer, U.,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

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

Sturge-Weber Syndrome
www.UptoDate.com,Dec, Patterson,M.C., 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

Determination of Brain Death
NEJM 385:2554-2561, Greer, D.M., 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

Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020

The Incidence of Central Neurological Disorders Among Patients with Isolated Dizziness and the Diagnostic Yield of Neuroimaging Studies
Neurologist 25:85-88, Idil, H.,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

Reversible Cerebral Vasoconstriction Syndrome
Stroke 50:2253-2258, Burton, T.M. & Bushnell, C.D., 2019

Imaging Features (CT, MRI, MRS, PET/CT) of Primary Central Nervous System Lymphoma in Immunocompetent Patients
Neurol Sci 40:535-542, Cheng, G. & Zhang, J., 2019

CT Analysis of the Aorta in Giant-Cell Arteritis: A Case-Control Study
Eur Radiol 28:3676-3684, Berthod, P.E.,et al, 2018

Spontaneous Subarachnoid Haemorrhage
Lancet 389:655-666, Macdonald, R.L. & Schweizer, T.A., 2017

The Future of the Neurologic Examination
JAMA Neurol 74:1291-1292, Aminoff, M.J., 2017

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

Diagnosis and Management of Marchiafava-Bignami Disease: A Review of CT/MRI Confirmed Cases
JNNP 85:168-173, Hillborn, M.,et al, 2014

Clinical Case Conference: A 41-Year-Old Woman with Progressive Weakness and Sensory Loss
Ann Neurol 75:9-19, Stephen, C.D.,et al, 2014

Brain Abscess
NEJM 371:447-456, Brouwer, M.C.,et al, 2014

Red Papules on the Tongue of a Patient with Hemiparesis
JAMA 312:741-742, Chiu, H.Y. & Lin, S.J., 2014

Diagnosis of Reversible Causes of Coma
Lancet 384:2064-2076, Edlow, J.A.,et al, 2014

The Eye of the Beholder: Inter-rater Agreement among Experts on Psychogenic Jerky Movement Disorders
JNNP 84:742-747, Van de Salm, S.,et al, 2013

Target Sign on Enhanced MR Imaging in Toxoplasmosis
Conn Med 77:343-344, Finelli, P.F. & Al Zahmi, F., 2013

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

Clinical Reasoning: A Woman with Recurrent Aphasia and Visual Field Defects
Neurol 81:e141-e144, Nourbakhsh, B.,et al, 2013

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

Diagnosis and Management of Cerebral Venous Thrombosis: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association
Stroke 42:1158-1192, Saposnik,G.,et al, 2011

Diagnosing Cerebral Aneuryms by Computed Tomographic Angiography: Meta-Analysis
Ann Neurol 69:646-654, Menke, J.,et al, 2011

Presentation, Diagnosis, Pathophysiology, and Treatment of the Neurological Features of Sturge-Weber Syndrome
The Neurologist 17:179-184, Comi, A.M., 2011

Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study
BMJ 343:d4277, Perry, J.J.,et al, 2011

Addition of Magnetic Resonance Imaging to Computed Tomography and Sensitivity to Blood in Pituitary Apoplexy
Arch Neurol 68:1334-1335, Flanagan, E.P.,et al, 2011

Pseudotumor Cerebri: Brief Review of Clinical Syndrome and Imaging Findings
AJNR 32:1986-1993, Degnan, A.J. and Levy L.M., 2011

Primary Central Nervous System T-Cell Lymphoma of the Brain
Open Neurosurg J 4:62-65, Behbahami, M. & Lyons, M., 2011



Showing articles 0 to 50 of 134 Next >>