Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017
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Recommendations for the Implementation of Telemedicine Within Stroke Systems of Care: A Policy Statement From the American Heart Association
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The Stroke-Thrombolytic Predictive Instrument: A Predictive Instrument for Intravenous Thrombolysis in Acute Ischemic Stroke
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Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
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Transformation of Undergraduate Medical Education in 2023
JAMA 330:1521-1522, Chang,B.S., 2023
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
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Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
Neurol 94:1077-1087, Grossman, S.N.,et al, 2020
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
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Evolutionary Pressures on the Electronic Health Record
JAMA 316:923-924, Zulman, D.M.,et al, 2016
Untangling the Web - Patients, Doctors, and the Internet
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Strategies for Coping With Information Overload: You Need a Machine to Help You
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ACGME Competencies in Neurology: Web-Based Objective Simulated Computerized Clinical Encounters
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Personal Digital Educators
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Doctors' Experience with Handheld Computers in Clinical Practice: Qualitative Study
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Handheld Computers
BMJ 328:1181-1184, Al-Ubaydli,M., 2004
Information Technology, The Internet, and The Future of Neurology
The Neurologist 9:149-159, Maulden,S.A., 2003
The Internet
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Neurologists and the Internet
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Rating Health Information on the Internet, Navigating to Knowledge or to Babel
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Neurosurgery and the Internet:A Critical Analysis and a Review of Available Resources
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Computeritis, Who's Responsible When PCs Make Employees Sick?
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