Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
Neurologist 30:155-163, Alessandro,L.,et al, 2025
Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis
AJNR 46:33-40, Lee,J.,et al, 2025
FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
BMJ 388:e081554, Lekadir,K.,et al, 2025
General AI May Revolutionize Neurology 0 Or It Might be Bad
JAMA Neurol doi 10.1001/JAMANEUROL.2025.0905, Westover,M.B. & Westover,A.M., 2025
Educational Strategies for Clinical Supervision of Artificial Intelligence Use
NEJM 393:786-797, Abdulnour,R-E. E.,et al, 2025
AI in Neurology: Everything, Everywhere, all at One PRT 2:Speech, Sentience, Scruples, and Service
Ann Neurol 98:431-447, Rizzo, M., 2025
Gait Analysis in Neurologic Disorders, Methodology, Applications and Clinical Considerations
Neurol 105:e214154, Ali,F.,et al, 2025
General AI May Revolutionize Neurology-Or It Might Be Bad
JAMA Neurol 82:977-978, Westover,M.B., & Westover A.M., 2025
Large Language Models in Neurological Practice: Real-World Study
J Med Internet Res 27:e73212, Maiorana,N.V.,et al, 2025
Primary Central Nervous System Vasculitis
NEJM 391:1028-1037, Salvarani,C.,et al, 2024
How Patients Are Using AI
BMJ 387:q2393, Stokel-Walker,C., 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
Improving Neurology Clinical Care with Natural Language Processing Tools
Neurol 101:1010-1018, Ge,W.,et al, 2023
Large Language Models in Neurology Research and Future Practice
Neurol 101:1058-1067, Romano,M.F.,et al, 2023
Use of GPT-4 to Diagnose Complex Clinical Cases
NEJM AI doi:10.1056/AIp2300031, Eriksen,A.V.,et al, 2023
Study Finds ChatGPT Provides Inaccurate Responses to Drug Questions-Press Release
Am Soc Health Sys Pharm, Dec 5, Grossman,S., 2023
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
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
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017