Ethical Considerations in Surgical Decompression for Stroke
Stroke 53:2676-2682, Shlobin, N.A.,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
Digital Health
Stroke 52:351-355, Silva, G.S. & Schwamm, L.H., 2021
Artificial Intelligence Applications in Stroke
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Automated ASPECTS in Acute Ischmeic Stroke: A Comparative Analysis with CT Perfusion
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Neurological Diagnosis, Artificial Intelligence Compared with Diagnostic Generator
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Hidden Metastatic Lung Tumour Diagnosed by AI
Lancet 403:1299, Muroya,D.,et al, 2024
Artificial Intelligence and Machine Learning in Clinical Medicine, 2023
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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
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Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
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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
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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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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs
NEJM 382:1687-1695,1760, Milea, D.,et al, 2020
Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy
Stroke 48:1416-1419, Labovitz, D.L.,et al, 2017