The New Era of Automated Electroencephalogram Interpretation
JAMA Neurol 80:777-778, Kleen,J.K., & Guterman,E.L., 2023
External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke
Ann Neurol 92:943-957, Mair,G.,et al, 2022
Endovascular Therapy for Acute Stroke with a Large Ischemic Region
NEJM 386:doi.10.1056/NEJMoa2118191, Yoshimura, S.,et al, 2022
Artificial Intelligence Applications in Stroke
Stroke 51:2573-2579, Mouridsen, K.,et al, 2020
Automated ASPECTS in Acute Ischmeic Stroke: A Comparative Analysis with CT Perfusion
AJNR 40:2033-2038, Sundaram, V.K.,et al, 2019
Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
Neurologist doi.10.1097/NR.0000000000000560, Finelli,P.F., 2024
Thrombectomy for Acute Ischaemic Stroke Without Advanced Imaging
Lancet 402:1724-1725, Kippel,D.W.J. & Roozenbeek, B, 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
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
Improved Prospects for Thrombectomy in Large Ischemic Stroke
NEJM 388:1326-1328,1259,1272, Fayad,P., 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
To Use Perfusion Imaging or Not in Patient Selection for Late Window Endovascular Thrombectomy?
Neurol 100:1039-1040, Katsanos,A.H.,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
Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review
Stroke 53:1008-1019, Feigin, V.L.,et al, 2022
In Stroke, When is a Good Outcome Good Enough?
NEJM 386:1359-1361, Schwamm, L.H., 2022
Ethical Considerations in Surgical Decompression for Stroke
Stroke 53:2676-2682, Shlobin, N.A.,et al, 2022
Posterior Circulation Alberta Stroke Program Early Computed Tomography Score (pc-ASPECT) for the Evaluation of Cerebellar Infarcts
Neurologist 6:304-308, Altiparmak, T.,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
Noncontrast Computed Tomography vs Computed Tomography Perfusion or Magnetic Resonance Imaging Selection in Late Presentation of Stroke with Large-Vessel Occlusion
JAMA Neurol 79:22-31, Nguyen, T.N.,et al, 2022
Thrombectomy for Anterior Circulation Stroke Beyond 6 h from Time Last Known Well (AURORA): A Systematic Review and Individual Patient Data Meta-Analysis
Lancet 399:249-258, Jovin, T.G.,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
Eyes-Open Coma
Neurol 96:864-867, Kondziella, D. & Frontera, J.A., 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
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
Recent Administration of Iodinated Contrast Renders Core Infarct Estimation Inaccurate Using RAPID Software
AJNR 41:2235-2242, Copelan, A.Z.,et al, 2020
The role of infarct location in patients with DWI-ASPECTS 0-5 acute stroke treated with thrombectomy
Neurol 95:e3344-e3354,1078, Panni, P.,et al, 2020
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
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020
Neuro R� score
Neurol 94:e1614-e1621, Peacock, S.H.,et al, 2020
Clinicopathologic Conference, LGI1 autoimmune encephalitis
NEJM 382:1943-1950, Case 15-2020, 2020
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
Automated Seizure Detection Accuracy for Ambulatory EEG Recordings
Neurol 92:e1540-e1546, Gonzalez Otarula, K.A.,et al, 2019
Thrombolysis Guided by Perfusion Imaging up to 9 Hours after Onset of Stroke
NEJM 380:1795-1803,1865, Ma, H.,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
Standards for Detecting, Interpreting, and Reporting Noncontrast Computed Tomographic Markers of Intracerebral Hemorrhage Expansion
Ann Neurol 86:480-492, Morotti, A.,et al, 2019
Posterior Circulation Thrombectomy - Pc-ASPECT Score Applied to Preintervention Magnetic Resonance Imaging Can Accurately Predict Functional Outcome
World Neurosurg 129:e566-e571, Khatibi, K.,et al, 2019
Five and 10 Minute Apgar Scores and Risks of Cerebral Palsy and Epilepsy: Population Based Cohort Study in Sweden
BMJ 360:k207, Persson, M.,et al, 2018