Artificial intelligence in heart failure
Abstract Background Heart failure (HF) affects millions of individuals worldwide and shows an increasing trend, constituting a serious public health issue. Considerable attention has been paid to the screening, diagnosis, risk prediction, treatment, and prognosis of HF. Although many guidelines for...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2026-03-01
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| Serie: | The Egyptian Heart Journal |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s43044-026-00723-w |
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