Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024
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
Cannabis-Related Disorders and Toxic Effects
NEJM 389: 2267-2275, Gorelick,D.A., 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
A Teenager With Right-Sides Headache and Periorbital Changes
Neurol 100:144-150, Lax,D.M.,et al, 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
The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023
A 17-Year-Old Girl with Progressive Cognitive Impairment
Neurol 101:e1466-e1472, Zhao,B.,et al, 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
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
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
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
FDG-PET/CT of Giant Cell Arteritis with Normal Inflammatory Markers
Ann Neurol 92:337-339, Koizumi, N.,et al, 2022
Neuroimaging Findings in Parechovirus Encephalitis: A Case Series of Pediatric Patients
Pediatr Neurol 130:41-45, Tierradentro-Garcia, L.O.,et al, 2022
An 80-Year-Old Woman with a Homonymous Hemianopsia
Neurol 99:713-717, Tajfirouz, D.,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
Cannabis Legalization and Detection of Tetrahydrocannabinol in Injured Drivers
NEJM 386:148-156, Brubacher, J.R.,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
Sport Associated Dementia
BMJ 372:N168, Stewart, W., 2021
National Institute of Neurological Disorders and Stroke Consensus Diagnostic Criteria for Traumatic Encephalopathy Syndrome
Neurol 96:848-863, Katz, D.I.,et al, 2021
Body Mass Index in 1.9 Million Adolescents and Stroke in Young Adulthood
Stroke 52:2043-2052, Bardugo, A.,et al, 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
Sudden Loss of Vision at the Gym
BMJ 375:e067964, Ng, J.K.Y.,et al, 2021
Single Photon Emission Computed Tomography/Positron Emission Tomography Molecular Imaging for Parkinsonism: A Fast-Developing Field
Ann Neurol 90:711-719, Verger, A.,et al, 2021
Clinicopathologic Conference, Lead Poisoning
NEJM 385:2378-2388, Case 38-2021, 2021
Determination of Brain Death
NEJM 385:2554-2561, Greer, D.M., 2021
Application of Deep Learning to Predict Standardized Uptake Value Ratio and Amyloid Status on 18F-Florbetapir PET Using ADNI Data
AJNR 41:980-986, Reith, F.,et al, 2020
Rapid Implementation of Virtual Neurology in Response to the COVID-19 Pandemic
Neurol 94:1077-1087, Grossman, S.N.,et al, 2020
Artificial Intelligence Applications in Stroke
Stroke 51:2573-2579, Mouridsen, K.,et al, 2020
A Woman with Monocular Vision Loss
Neurol 95:e1105-e1109, Danish, H.,et al, 2020
Understanding Brain Death
JAMA doi:10.1001/JAMA.2020.3593, Truog, R.D.,et al, 2020
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020
A 22-Year-Old Man with Progressive Bilateral Visual Loss
Neurol 94:625-630, Yang, S.L.,et al, 2020
Personalized iPSC-Derived Dopamine Progenitor Cells for Parkinsons Disease
NEJM 382:1926-1932, Schweitzer, J.S.,et al, 2020
A 17-year-old Baseball Player with Right Hand Weakness
Neurol 92:e76-e80, Vachon, C. & Libdeh, A.A., 2019
Brain Death, the Determination of Brain Death, and Member Guidance for Brain Death Accommodation Requests
Neurol 92:228-232, Russell, J.A.,et al, 2019
Links in the Chain of Chronic Traumatic Encephalopathy
NEJM 380:1771-1772, Ropper, A.H., 2019
Toxic Diffuse Isolated Cerebellar Edema from Over-the-Counter Health Supplements
Neurol 92:965-966, Kim, D.D.,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
Cytotoxic Lesions of the Corpus Callosum Caused by Thermogenic Dietary Supplements
AJNR 40:1304-1308, Galnares-Olalde, J.A.,et al, 2019