Neurological History Both Twinned and Queried by Generative Artificial Intelligence
Front Med doi.10.3389/frmed.2024.1496866, Lee,J-H.,et al, 2025
Large Language Models and the Degredation of the Medical Record
NEJM 391:1561-1564, McCoy,L.G.,et al, 2024
Paean to Physicians Patient Notes
JAMA Neurol 80:661-662, Caplan,L.R., 2023
Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
Neurol 94:1077-1087, Grossman, S.N.,et al, 2020
Evolutionary Pressures on the Electronic Health Record
JAMA 316:923-924, Zulman, D.M.,et al, 2016
Ethical and Quality Pitfalls in Electronic Health Records
Neurol 80:1057-1061, Bernat, J.L., 2013
Can Electronic Clinical Documentation Help Prevent Diagnostic Errors?
NEJM 362:1066-1069, Schiff,G.D. &Bates,D.W., 2010
Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024
Anticoagulation vs Antiplatelets Across Subgroups of Embolic Stroke of Undetermined Source
Neurol 103:e209949, Grannam,M.,et al, 2024
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
Anticoagulation after Ablation for Atrial Fibrillation
NEJM 385:466-468, Kadire, S.R., 2021
Implantable Cardiac Monitoring in the Secondary Prevention of Cryptogenic Stroke
Ann Neurol 88:946-955, Triantafyllou, S.,et al, 2020
Potential Cost-Effectiveness of Ambulatory Cardiac Rhythm Monitoring After Cryptogenic Stroke
Stroke 47:2380-2385, Yong, J.H.E.,et al, 2016
Computer-Assisted Diagnostic Checklist in Clinical Neurology
Neurologist 21:23-27, Finelli,P.F. and McCabe, A.L., 2016
Reliability and Limitations of Automated Arrhythmia Detection in Telemetric Monitoring After Stroke
Stroke 46:560-563, Kurka, N.,et al, 2015
Cryptogenic Stroke and Underlying Atrial Fibrillation
NEJM 370:2478-2486,2532, Sanna, T.,et al, 2014
Detection of Atrial Fibrillation After Ischemic Stroke or Transient Ischemic Attack
Stroke 45:520-526,355, Kishore, A.,et al, 2014
Evaluation of Cryptogenic Stroke with Advanced Diagnostic Techniques
Stroke 45:1186-1194, Bang, O.Y.,et al, 2014
Prolonged Cardiac Monitoring for Detection of Paroxysmal Atrial Fibrillation After Cerebral Ischemia
Stroke 45:1208-1214, Rabinstein, A.A., 2014
Evaluation of Patients for Paroxysmal Atrial Fibrillation after Ischemic Stroke
Stroke 44:e168-e170, Sundararajan, K.,et al, 2013
Occult Atrial Fibrillation in Cryptogenic Stroke
Stroke 44:1449-1452, Ritter, M.,et al, 2013
Incidence of Atrial Fibrillation Detected by Implantable Loop Recorders in Unexplained Stroke
Neurol 80:1546-1550, Corter, P.,et al, 2013
Insertable Cardiac Event Recorder in Detection of Atrial Fibrillation After Cryptogenic Stroke
Stroke 44:2007-2009, Etgen, T.,et al, 2013
Looking for Atrial Fibrillation with Insertable Cardiac Monitors-Is 1 Year Long Enough and Does it Matter?
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Turning Slowly Predicts Future Diagnosis of Parkinsons Disease:A Decade-Long Longitudinal Analysis
Ann Neurol 99:114-123, Elshehabi,M.,, 2026
Association of Changes in Activity Patterns with Brain Atrophy and Disability Progression in People with Multiple Sclerosis
Neurol 106:e214678, e214742, Fitzgerald,K.C.,et al, 2026
Comparison of AI, Diagnostic Generator, and Expert Opinion in Difficult Neurologic Diagnosis; Real-World Case Study
Diagnosis doi.org/10.1515/dx-2026-002, Finelli,P.F., 2026
Wearable Technology and Its Role in Neurologic Care, Emerging Issues in Neurology
Neurol 106:e214802, Benish,S.M.,et al, 2025
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
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
Clinicopathologic Conference, Chagas Disease
NEJM 393:1216-1225, Case 27-2025, 2025
Motor Vehicle Collision Due to Left Hemineglect Associated with a Stroke
NEJM 393:e41, Matsunaga,S. & Mikami,T., 2025
AI: Need for Comparative Studies in Complex Neurologic Diagnosis
Ann Neurol doi:10.1002/ana.78068, Finelli,P.F., 2025
Infective Endocarditis After a Splenectomy:A Complex Association
Cureus doi:10.7759/CURROS.69143, Saleh,J.,et al, 2024
Wearable Digital Health Technology for Epilepsy
NEJM 390:736-745, Donner,E.,et al, 2024
FTC Regulation of AI-Generated Medical Disinformation
JAMA doi:10.1001/JAMA.2024.19971;2024, Haupt,C.E., & Marks,M., 2024
Seizures When Exiting a Bath, A Rare Type of Reflex Epilepsy
Neurol 103:e210025, Pascarella,A.,et al, 2024
Infective Endocarditis
Lancet 404:377-392, Li,M.,et al, 2024
Vestibular Drop Attacks Diagnosed with Valuable Insights from CCTV
Lancet 404:787-788, Joffily,L.,et al, 2024
Use of GPT-4 to Diagnose Complex Clinical Cases
NEJM AI doi:10.1056/AIp2300031, Eriksen,A.V.,et al, 2023
Patient Travel Distance to Neurologist Visits
Neurol 101:e1807-e1820, Lin,C.C.,et al, 2023
Improving Neurology Clinical Care with Natural Language Processing Tools
Neurol 101:1010-1018, Ge,W.,et al, 2023
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA 330:78-79, Kanjee,Z.,et al, 2023
Diagnosis, Workup, Risk Reduction of Transient Ischemic Attack in the Emergency Department Setting:A Scientific Statement From the American HEart Association
Stroke 54:e109-e121, Hardik,P.A.,et al, 2023
A Managed Care System with Telemedicine Support for Neurological Emergencies
Ann Neurol 93:511-512, Erdur,H.,et al, 2023
Digital Minimalism-An Rx for Clinical Burnout
NEJM 388:1158-1159, Singh,N.,et al, 2023
Clinicopathologic Conference, Functional Seiaures
NEJM 388:1210-1218, Case 10-2023, 2023
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
NEJM 388:1233-1239, Lee,P., et al, 2023