Multimodal Large Language Model for Fracture Detection in Emergency Orthopedic Trauma: A Diagnostic Accuracy Study

<b>Background</b>: Rapid and accurate fracture detection is critical in emergency departments (EDs), where high patient volume and time pressure increase the risk of diagnostic error, particularly in radiographic interpretation. Multimodal large language models (LLMs) with image-recognition capabili...

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Auteurs principaux:	Sadık Emre Erginoğlu, Nuri Koray Ülgen, Nihat Yiğit, Ali Said Nazlıgül, Mehmet Orçun Akkurt
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-02-01
Collection:	Diagnostics
Sujets:	emergency department orthopedic trauma fracture detection large language model artificial intelligence radiography
Accès en ligne:	https://www.mdpi.com/2075-4418/16/3/476
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