Autonomous medical evaluation for guideline adherence of large language models

Abstract Autonomous Medical Evaluation for Guideline Adherence (AMEGA) is a comprehensive benchmark designed to evaluate large language models’ adherence to medical guidelines across 20 diagnostic scenarios spanning 13 specialties. It includes an evaluation framework and methodology to assess models...

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Principais autores:	Dennis Fast, Lisa C. Adams, Felix Busch, Conor Fallon, Marc Huppertz, Robert Siepmann, Philipp Prucker, Nadine Bayerl, Daniel Truhn, Marcus Makowski, Alexander Löser, Keno K. Bressem
Formato:	Artigo
Idioma:	Inglês
Publicado:	Nature Portfolio 2024-12-01
Series:	npj Digital Medicine
Acceso en liña:	https://doi.org/10.1038/s41746-024-01356-6
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