Evaluating the diagnostic accuracy of vision language models for neuroradiological image interpretation
Abstract This study evaluates the diagnostic performance of commercial and open-source Vision-Language Models (VLMs) in neuroradiological image interpretation, using a dataset of 100 brain and spine cases from Radiopaedia. Five VLMs (Gemini 2.0, OpenAI o1, Llama 3.2 90b, Qwen 2.5, Grok-2-vision) wer...
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| Autors principals: | , , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-11-01
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| Col·lecció: | npj Digital Medicine |
| Accés en línia: | https://doi.org/10.1038/s41746-025-02047-6 |
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