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
FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
BMJ 388:e081554, Lekadir,K.,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
Vertebrobasilart Dolichoectasia Presenting with Multiple Cranial Nerve Involvement
Neurol 104:213541, Freiherr von Seckendorff,A.,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
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
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
Bilateral Hemifacial Spasm and Left Glossopharyngeal Neuralgia Caused by Bilateral Vertebral Artery Displacement
Neurol 102:e209422, Han,Z.,et al, 2024
Primary Central Nervous System Vasculitis
NEJM 391:1028-1037, Salvarani,C.,et al, 2024
Anticoagulation vs Antiplatelets Across Subgroups of Embolic Stroke of Undetermined Source
Neurol 103:e209949, Grannam,M.,et al, 2024
FTC Regulation of AI-Generated Medical Disinformation
JAMA doi:10.1001/JAMA.2024.19971;2024, Haupt,C.E., & Marks,M., 2024
Large Language Models and the Degredation of the Medical Record
NEJM 391:1561-1564, McCoy,L.G.,et al, 2024
How Patients Are Using AI
BMJ 387:q2393, Stokel-Walker,C., 2024
Effect of IV Thrombolysis With Alteplase in Patients with Vessel Occlusion in the WAKE-UP Trial
Neurol 104:e209871, Galinovic,I.,et al, 2024
The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023
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
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
Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?
JAMA doi.10.1001, Nov, Wachter R.M. & Brynjolfsson,E., 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
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
A 25-Year-Old Woman With Eye Swelling and HEadache
Neurol 100:879-883, Hehir,A.,et al, 2023
Cavernous Sinus Thrombosis
StatPearls PMID:28846357, Plewa,M.C.,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
A 57-Year-Old Man with Stepwise Progressive Paraparesis, Sensory Loss, Urinary Retention, and Constipation
Neurol 98:e555-e560, Alkabie, S.,et al, 2022
Endovascular Therapy for Acute Stroke with a Large Ischemic Region
NEJM 386:doi.10.1056/NEJMoa2118191, Yoshimura, S.,et al, 2022
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,et al, 2022
Ethical Considerations in Surgical Decompression for Stroke
Stroke 53:2676-2682, Shlobin, N.A.,et al, 2022
Progressive Vertebrobasilar Vasculopathy and Stroke Secondary to Giant Cell Arteritis
Stroke 53:e435-e438, Mahjoub, Y.,et al, 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
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
Digital Health
Stroke 52:351-355, Silva, G.S. & Schwamm, L.H., 2021
Clinicopathologic Conference, Mycobacterium Tuberculosis Meningitis
NEJM 384:166-176, Case 1-2021, 2021
Rapidly Progressive Thalamic Dementia
Neurol 96:e809-e813, Rizzo, A.C.,et al, 2021
Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
AJNR 42:838-844, Shin, I.,et al, 2021
Anticoagulation after Ablation for Atrial Fibrillation
NEJM 385:466-468, Kadire, S.R., 2021
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
Machine Learning Approach to Identify Stroke Within 4.5 Hours
Stroke 51:860-866, Lee, H.,et al, 2020
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