Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence

IMPORTANCE: Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretat...

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Detalles Bibliográficos
Autores principales: Tveit, Jesper, Aurlien, Harald, Plis, Sergey, Calhoun, Vince D., Tatum, William O., Schomer, Donald L., Arntsen, Vibeke, Cox, Fieke, Fahoum, Firas, Gallentine, William B., Gardella, Elena, Hahn, Cecil D., Husain, Aatif M., Kessler, Sudha, Kural, Mustafa Aykut, Nascimento, Fábio A., Tankisi, Hatice, Ulvin, Line B., Wennberg, Richard, Beniczky, Sándor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282956/
https://www.ncbi.nlm.nih.gov/pubmed/37338864
http://dx.doi.org/10.1001/jamaneurol.2023.1645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282956/
https://www.ncbi.nlm.nih.gov/pubmed/37338864
http://dx.doi.org/10.1001/jamaneurol.2023.1645

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