Can artificial intelligence-based algorithms accurately predict hospital admission in patients with heart failure?
Artificial intelligence models show potential for predicting heart failure hospital admissions but require rigorous prospective and external validation before clinical implementation.
AI has the potential to enable prediction of hospital admission in HF patients. Improvement of data management, adding new data sources such as telemonitoring data and ML models and prospective and external validation of current models must be performed before clinical applicability is possible.
Croon et al. (Fri,) studied this question.
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