Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis

Abstract BackgroundRecent natural language processing breakthroughs, particularly with the emergence of large language models (LLMs), have demonstrated remarkable capabilities on general knowledge benchmarks. However, there is limited data on the performance and understanding...

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Main Authors: Ahmad Idrissi-Yaghir, Kamyar Arzideh, Henning Schäfer, Bahadir Eryilmaz, Mikel Bahn, Yutong Wen, Katarzyna Borys, Eva Hartmann, Cynthia Schmidt, Obioma Pelka, Johannes Haubold, Christoph M Friedrich, Felix Nensa, René Hosch
Format: Article
Language:English
Published: JMIR Publications 2025-08-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e73540
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