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...

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Detalles Bibliográficos
Autores principales: Seo, Young Deok, Lee, Dong Ah, Park, Kang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurological Association 2023
Materias:
Original Article
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

Internet

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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