Performance of large language models in delivering accurate and comprehensible patient information on heart failure and cardiomyopathy

BackgroundLarge language models (LLMs) are increasingly used by patients seeking cardiovascular health information through digital platforms. However, their accuracy and suitability for providing guidance on heterogeneous diseases such as cardiomyopathies and heart failure remain inadequately evalua...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Christoph Reich, Jule Leverenz, Charlotte Brand, Lasse Niemeier, Isabel Branzei, Mustafa Yildirim, Farbod Sedaghat-Hamedani, Ali Amr, Norbert Frey, Benjamin Meder
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-06-01
Schriftenreihe:	Frontiers in Digital Health
Schlagworte:	artificial intelligence cardiomyopathy digital health heart failure patient education
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fdgth.2026.1847603/full
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