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Explainable artificial intelligence in cardiac rehabilitation requires external validation and interpretability to reliably predict neurocognitive outcomes after acute coronary syndrome.
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Bashir et al. (2026) conducted a letter in Acute coronary syndrome. Machine learning predictive models was evaluated. Explainable artificial intelligence in cardiac rehabilitation requires external validation and interpretability to reliably predict neurocognitive outcomes after acute coronary syndrome.
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