Comparative evaluation assesses diagnostic and management capabilities of multimodal large language models in breast radiology, highlighting opportunities for clinical artificial intelligence.
This study aimed to evaluate the performance of large language models (LLMs) and multimodal LLMs in interpreting the Breast Imaging Reporting and Data System (BI-RADS) categories and providing clinical management recommendations for breast radiology in text-based and visual questions.
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Güneş et al. (2024) studied this question.
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