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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |