External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke
Ann Neurol 92:943-957, Mair,G.,et al, 2022
Ethical Considerations in Surgical Decompression for Stroke
Stroke 53:2676-2682, Shlobin, N.A.,et al, 2022
Endovascular Therapy for Acute Stroke with a Large Ischemic Region
NEJM 386:doi.10.1056/NEJMoa2118191, Yoshimura, S.,et al, 2022
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,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
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
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
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
Digital Health
Stroke 52:351-355, Silva, G.S. & Schwamm, L.H., 2021
The COVID-19 Pandemic and the Ethical Duties of the Neurologist
Neurol 95:167-172, Rubin, M.A.,et al, 2020
Artificial Intelligence Applications in Stroke
Stroke 51:2573-2579, Mouridsen, K.,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
COVID-19 is Catalyzing the Adoption of Teleneurology
Neurol 94:903-904, Klein, B.C. & Busis, N.A., 2020
Clinicopathologic Conference, LGI1 autoimmune encephalitis
NEJM 382:1943-1950, Case 15-2020, 2020
Preparing a Neurology Department for SARS-CoV-2 (COVID-19)
Neurol 94:886-891, Waldman, G.,et al, 2020
Implementation of a Prehospital Stroke Triage System Using Symptom Severity and Teleconsultation in the Stockholm Stroke Triage Study
JAMA Neurol 77:691-699, Mazya, M.V.,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
Functional Gait Disorders
Neurol 94:1093-1099, Nonnekes, J.,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
Automated ASPECTS in Acute Ischmeic Stroke: A Comparative Analysis with CT Perfusion
AJNR 40:2033-2038, Sundaram, V.K.,et al, 2019
Eccentric Target Sign in CNS Toxoplasmosis
Neurol 92:e516-e518, Cheng, Y-C.,et al, 2019
Collective Intelligence for Clinical Diagnosis - Are 2 (or 3) Heads Better Than 1?
JAMA Netw Open 2:e190096, Fihn, S.D.,et al, 2019
Automated Seizure Detection Accuracy for Ambulatory EEG Recordings
Neurol 92:e1540-e1546, Gonzalez Otarula, K.A.,et al, 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
Automated DWI analysis can identify patients within the thrombolysis time window of 4.5 hours
Neurol 90:e1570-e1577, Wouters, A.,et al, 2018
A Fatal Case of Undiagnosed Candida Meningitis-Role of Computer-assisted Diagnosis
Neurologist 23:138-140, Finelli, P.F., 2018
National Randomized Controlled Trial of Virtual House Calls for Parkinson Disease
Neurol 89:1152-1161,1103, Beck, C.A.,et al, 2017
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017
Evolutionary Pressures on the Electronic Health Record
JAMA 316:923-924, Zulman, D.M.,et al, 2016
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
The Tablet Device in Hospital Neurology and in Neurology Graduate Medical Education: A Preliminary Study
Neurohosp 5:15-21, George, P.,et al, 2015
Electronic Media in Neurology Education: Progress, Promise, and itfalls
Neurol 82:1291-1292, Finelli, P.F., 2014
NeurologicDx - Internet Based Differential Diagnostic Checklist in Clinical Neurology
Ann Neurol 74:S5, Finelli, P.F. & McCabe, A.L., 2013
Teleneurology Applications
Neurol 80:670-676, Wechsler, L.,et al, 2013
Teaching the Next Generation of Neurologists
Neurol 72:657-663, Elkind, M.S.V., 2013
Opinion and Special Articles: Electronic Media in Neurology Education
Neurol 81:e47-e50, Lakhan, S.E.,et al, 2013
Reliability of Real-Time Video Smartphone for Assessing National Institutes of Health Stroke Scale Scores in Acute Stroke Patients
Stroke 43:3271-3277, Demaerschalk, B.,et al, 2012
All Patients Should Be Admitted to the Hospital After a Transient Ischemic Attack
Stroke 43:1446-1447,1450, Cucchiara, B.L. & Kasner,S.E., 2012
Oral Acyclovir Suppression and Neurodevelopment after Neonatal Herpes
NEJM 365:1284-1292,1338, Kimberlin, D.W.,et al, 2011
Recognizing Guillain-Barr� Syndrome in Preschool Children
Neurol 76:807-810, Roodbol,J.,et al, 2011
Screening for Fitness to Drive After Stroke: A Systematic Review and Meta-Analysis
Neurol 76:747-756, e35, Devos,H.,et al, 2011
Concussion
76:e83-e85, Karceski, S., 2011
Untangling the Web - Patients, Doctors, and the Internet
NEJM 362:1063-1066, Hartzband,P. &Groopman,J., 2010