Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
NEjM 388:1201-1208,1220, Haug,C.H. & Drazen,J.M., 2023
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,et al, 2022
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
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
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
ACGME Competencies in Neurology: Web-Based Objective Simulated Computerized Clinical Encounters
Neurol 72:893-898, Kash,K.M.,et al, 2009
A Review of the Evidence for the Use of Telemedicine Within Stroke Systems of Care: A Scientific Statement from the American Heart Association/American Stroke Association
Stroke 40:2616-2634, Schwamm,L.H.,et al, 2009
Recommendations for the Implementation of Telemedicine Within Stroke Systems of Care: A Policy Statement From the American Heart Association
Stroke 40:2635-2660, Schwamm,L.H.,et al, 2009
The Stroke-Thrombolytic Predictive Instrument: A Predictive Instrument for Intravenous Thrombolysis in Acute Ischemic Stroke
Stroke 37:2957-2962,2865, Kent,D.M.,et al, 2006
The Frequency of Carpal Tunnel Syndrome in Computer Users at a Medical Facility
Neurol 56:1568-1570, Clarke Stevens,J.,et al, 2001
Computeritis, Who's Responsible When PCs Make Employees Sick?
Infoworld 11:51-54, Flynn,L., 1989