The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023
Automated Differentiation between Epileptic and Nonepileptic Convulsive Seizures
Ann Neurol 77:348-351, Beniczky, S.,et al, 2015
Automated Detection of Normal Pressure Hydrocephalus Using CT Imaging for Calculating the Ventricle-to-Subarachnoid Volume Ratio
AJNR 46:141-146, Knittel,J.J.,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
Imaging Findings in Giant Cell Arteritis:Dont Turn a Blind Eye to the Obvious!
AJNR 46:457-464, Bathla,G.,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
Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024
Diagnosis and Management of Cerebral Venous Thrombosis:A Scientific Statement From the American Heart Association
Stroke 55:e77-e90, Saposnik,G.,et al, 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
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
A 25-Year-Old Woman With Eye Swelling and HEadache
Neurol 100:879-883, Hehir,A.,et al, 2023
Neonatal Seizures
NEJM 388:1692-1700, Ropper.A.H., 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
Should Electronic Differential Diagnosis Support be Used Early or Late in the Diagnostic Process? A Multicentre Experimental Study of Isabel
BMJ Qual Saf doi:10.1136/bmjqs-2021-013493, Sibbald, M.,et al, 2022
Reaching 95%: Decision Support Tools are the Surest Way to Improve Diagnosis Now
BMJ Qual Saf doi:10.1136/bmjqs-2021-014033, Graber, M.L., 2022
External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke
Ann Neurol 92:943-957, Mair,G.,et al, 2022
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
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
JAMA doi:10.1001/JAMA/2021.22396, Dec, Adler-Milstein, J.,et al, 2021
Assessing the Utility of a Differential Diagnostic Generator in UK General Practice: A Feasibility Study
Diagnosis 8:91-99, Cheraghi-Sohi, S.,et al, 2021
Autoimmune Encephalitis Related to Cancer Treatment with Immune Checkpoint Inhibitors
Neurol 97:e191-e202, Nersesjan, V.,et al, 2021
Accuracy of a Machine Learning Muscle MRI - Based Tool for the Diagnosis of Muscular Dystrophies
Neurol 94:e1094-e1102, Verdu-Diaz, J.,et al, 2020
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020
Long Survival Sporadic Creutzfeldt-Jakob Disease
Neurol 95:87-88, Liu, X.Y.,et al, 2020
Treatment of Patients with Psychogenic Nonepileptic Attacks
JAMA 321:1967-1968, Tolchin, B.,et al, 2019
Reimagining Specialty Consultation in the Digital Age the Potential Role of Targeted Automatic Electronic Consultations
JAMA doi:10.1001/JAMA.2019.6607, Wachter, R.M.,et al, 2019
Reversible Cerebral Vasoconstriction Syndrome
Stroke 50:2253-2258, Burton, T.M. & Bushnell, C.D., 2019
Diagnostic Tools for Immune Causes of Encephalitis
Clin Microbiol Infect 25:431-436, Lascano, A.M.,et al, 2019
A Fatal Case of Undiagnosed Candida Meningitis-Role of Computer-assisted Diagnosis
Neurologist 23:138-140, Finelli, P.F., 2018
Clnicopathologic Conference Anti-N-Methyl-D-Aspartate (NMDA) Receptor Encephalitis
NEJM 379:870-878, CASE 27-2018, 2018
Primary Angiitis of the Central Nervous System
Stroke 48:1248-1255, Boulouis, G.,et al, 2017
Paraneoplastic and Autoimmune Encephalitis
UptoDate July, Dalmau, J.,et al, 2017
Computer-Assisted Diagnostic Checklist in Clinical Neurology
Neurologist 21:23-27, Finelli,P.F. and McCabe, A.L., 2016
The Effectiveness of Electronic Differential Diagnoses (DDX) Generators: A Systematic Review and Meta-Analysis
PLoS ONE 11:e0148991, Riches, N.,et al, 2016
Significant Period Between Presentation and Diagnosis in Basilar Artery Occlusion
Stroke 46:e79-e81, Organek, N.,et al, 2015
Evaluation of Cryptogenic Stroke with Advanced Diagnostic Techniques
Stroke 45:1186-1194, Bang, O.Y.,et al, 2014
Giant-Cell Arteritis and Polymyalgia Rheumatica
NEJM 371:50-57, Weyand, C.M. & Goronzy J.J., 2014
Computed Tomographic Angiography or Magnetic Resonance Angiography for Detection of Intracranial Vascular Malformations in Patients with Intracerebral Hemorrhage
Stroke 46:e2-e3, Josephson, C.B.,et al, 2014
Occult Atrial Fibrillation in Cryptogenic Stroke
Stroke 44:1449-1452, Ritter, M.,et al, 2013
Paediatric Autoimmune Encephalopathies: Clinical Features, Laboratory Investigations and Outcomes in Patients with or without Antibodies to known Central Nervous System Autoantigens
JNNP 84:748-755, Hacohen, Y.,et al, 2013
Clinicopathologic Conference, Blind and Confused, Neuromyelitis Optica Spectrum Disorder
JAMA Neurol 70:932-936, Sharma, V.,et al, 2013
Teaching the Next Generation of Neurologists
Neurol 72:657-663, Elkind, M.S.V., 2013