Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists

Background and objective: Data on interaction of patients with artificial intelligence (AI) are limited, primarily derived from small-scale studies, cross-sectional surveys, and qualitative reviews. Most patients have not yet encountered AI in their clinical experience. This study explored patients’...

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Detalhes bibliográficos

Principais autores:	Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, Martin Joachim Hetz, Jana Theres Winterstein, Friedrich Otto Hartung, Britta Gruene, Jakob Nikolas Kather, Tim Holland-Letz, Maurice Stephan Michel, Frederik Wessels, Titus Josef Brinker
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	European Urology Open Science
Assuntos:	Clinical trial Generative artificial intelligence Implementation science Large language models Patient interaction
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666168324010942
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