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Large Language Models in Cardiovascular Prevention: A Narrative Review and Governance Framework
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Zitationen
2
Autoren
2026
Jahr
Abstract
LLMs could help mitigate structural barriers in CV prevention but should presently be deployed only as supervised "reasoning engines" that augment, rather than replace, clinician judgment. To guide the transition from in silico performance to bedside practice, we propose the C.A.R.D.I.O. framework (Clinical validation, Auditability, Risk stratification, Data privacy, Integration, and Ongoing vigilance) as a roadmap for responsible integration.
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