Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017
Comparison of AI, Diagnostic Generator, and Expert Opinion in Difficult Neurologic Diagnosis; Real-World Case Study
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Dedicated AI Expert System vs Generative AI with Large Language Model for Clinical Diagnosis
JAMA Network Open 8:e2512994, Feldman,M.J.,et al, 2025
Educational Strategies for Clinical Supervision of Artificial Intelligence Use
NEJM 393:786-797, Abdulnour,R-E. E.,et al, 2025
Neurological History Both Twinned and Queried by Generative Artificial Intelligence
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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
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA 330:78-79, Kanjee,Z.,et al, 2023
Use of GPT-4 to Diagnose Complex Clinical Cases
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Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
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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
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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
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