Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis
AJNR 46:33-40, Lee,J.,et al, 2025
Calibrating AI Reliance - A Physicians Superhuman Dilemma
JAMA Health Forum 6:e250106, Patil,S.V.,et al, 2025
Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
Neurologist 30:155-163, Alessandro,L.,et al, 2025
A Systematic Review and Meta-Analysis of Diagnostic Performance Comparison Between Generative AI and Physicians
NPJ Digital Medicine doi:10.1038/s41746-025-10543, Takita,H.,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
Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024
Hidden Metastatic Lung Tumour Diagnosed by AI
Lancet 403:1299, Muroya,D.,et al, 2024
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
The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA 330:78-79, Kanjee,Z.,et al, 2023
Improving Neurology Clinical Care with Natural Language Processing Tools
Neurol 101:1010-1018, Ge,W.,et al, 2023
Use of GPT-4 to Diagnose Complex Clinical Cases
NEJM AI doi:10.1056/AIp2300031, Eriksen,A.V.,et al, 2023
Functional Neurological Disorders
Neurologist 27:276-289, Mishra, A. & Pandey, S., 2022
External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke
Ann Neurol 92:943-957, Mair,G.,et al, 2022
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
Next-Generation Artificial Intelligence for Diagnosis
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Duchenne Muscular Dystrophy
BMJ 368:L7012, Fox, H.,et al, 2020
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020
Identifying and Managing Common Childhood Language and Speech Impairments
BMJ 350:h2318, Reilly, S.,et al, 2015
Late onset autism and anti-NMDA-receptor encephalitis
Lancet 378:98;378, Creten, C.,et al, 2011
Autism
Lancet 374:1627-1638, Levy,S.,et al, 2009
Aicardi-Gouti�res Syndrome
Br Med Bull 89:183-201, Orcesi, S.,et al, 2009
Is This Patient Having a Stroke?
JAMA 293:2391-2402, Goldstein,L.B. &Simel,D.L., 2005
Pick's Disease Versus Alzheimer's Disease:A Comparison of Clinical Characteristics
Neurol 43:289-292, Mendez,M.F.,et al, 1993
Wilson's Disease:The Problem of Delayed Diagnosis
JNNP 55:692-696, Walshe,J.M.&Yealland,M., 1992
Primary Lateral Sclerosis, Clin Features, Neuropath & Dx Criteria
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