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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:European Urology Open Science
Subjects:
Clinical trial
Generative artificial intelligence
Implementation science
Large language models
Patient interaction
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168324010942
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