Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions.

Han, Tianyu; Adams, Lisa C; Bressem, Keno K; Busch, Felix; Nebelung, Sven; Truhn, Daniel

Han, Tianyu; Adams, Lisa C; Bressem, Keno K; Busch, Felix; Nebelung, Sven; Truhn, Daniel.

Afiliación

Han T; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
Adams LC; Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Bressem KK; Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Busch F; Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Nebelung S; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
Truhn D; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.

JAMA ; 331(15): 1320-1321, 2024 04 16.

Article en En | MEDLINE | ID: mdl-38497956

This study compares 2 large language models and their performance vs that of competing open-source models.

Asunto(s)

Inteligencia Artificial; Diagnóstico por Imagen; Anamnesis; Lenguaje

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Diagnóstico por Imagen / Anamnesis Idioma: En Revista: JAMA Año: 2024 Tipo del documento: Article País de afiliación: Alemania

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