Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis

Cardiovascular diseases are one of the leading global causes of mortality. Currently, clinicians rely on their own analyses or automated analyses of the electrocardiogram (ECG) to obtain a diagnosis. However, both approaches can only include a finite number of predictors and are unable to execute co...

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Detalles Bibliográficos
Autores principales: Chung, Cheuk To, Lee, Sharen, King, Emma, Liu, Tong, Armoundas, Antonis A., Bazoukis, George, Tse, Gary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525157/
https://www.ncbi.nlm.nih.gov/pubmed/36212507
http://dx.doi.org/10.1186/s42444-022-00075-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9525157/
https://www.ncbi.nlm.nih.gov/pubmed/36212507
http://dx.doi.org/10.1186/s42444-022-00075-x

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