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Can Artificial Intelligence Diagnose Transient Global Amnesia Using Electroencephalography Data?
BACKGROUND AND PURPOSE: This study aimed to determine the ability of deep learning using convolutional neural networks (CNNs) to diagnose transient global amnesia (TGA) based on electroencephalography (EEG) data, and to differentiate between patients with recurrent TGA events and those with a single...
Autores principales: | Seo, Young Deok, Lee, Dong Ah, Park, Kang Min |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neurological Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833880/ https://www.ncbi.nlm.nih.gov/pubmed/36606644 http://dx.doi.org/10.3988/jcn.2023.19.1.36 |
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