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Explainable Clinician-Supervised Artificial Intelligence as an Implementation Framework for Cardiovascular–Kidney–Metabolic Population Health: Synthetic Data Validation of the CHAPERONE-CKM Framework

2026-08-19

Abstract excerpt

<h4>Background</h4> Cardiovascular–kidney–metabolic (CKM) syndrome is an increasingly prevalent multisystem condition associated with morbidity, fragmented care, recurrent hospitalization, and rising healthcare costs. While cardiovascular risk models estimate future disease risk, fewer frameworks support multidisciplinary CKM care, clinician decision-making, and population health management. Synthetic data enviro...

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Literature Corpus work
032e7a68-3659-50e4-8345-9753b75e80d5
DOI
10.64898/2026.08.17.26360643
Open publication

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Explainable Clinician-Supervised Artificial Intelligence as an Implementation Framework for Cardiovascular–Kidney–Metabolic Population Health: Synthetic Data Validation of the CHAPERONE-CKM FrameworkDOI 10.64898/2026.08.17.26360643
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