Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction

Dyskalemias are common electrolyte disorders associated with high cardiovascular risk. Artificial intelligence (AI)-assisted electrocardiography (ECG) has been evaluated as an early-detection approach for dyskalemia. The aims of this study were to determine the clinical accuracy of AI-assisted ECG f...

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Detalles Bibliográficos
Autores principales: Lin, Chin, Chau, Tom, Lin, Chin-Sheng, Shang, Hung-Sheng, Fang, Wen-Hui, Lee, Ding-Jie, Lee, Chia-Cheng, Tsai, Shi-Hung, Wang, Chih-Hung, Lin, Shih-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770475/
https://www.ncbi.nlm.nih.gov/pubmed/35046489
http://dx.doi.org/10.1038/s41746-021-00550-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770475/
https://www.ncbi.nlm.nih.gov/pubmed/35046489
http://dx.doi.org/10.1038/s41746-021-00550-0

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