Automated Quality Control of Breast Ultrasound Reports Using a BI-RADS-Prompted Large Language Model: A Pilot Multicenter Study Involving 60 Hospitals in China
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The authors aimed to evaluate the feasibility and effectiveness of a large language model (LLM) for automated quality control of breast ultrasound reports in a multicenter study involving 60 hospitals in China. They found that the LLM outperformed manual quality control personnel in accuracy and efficiency, particularly for key features of breast lesions, suggesting it could serve as a reliable tool to enhance the quality of ultrasound reporting.
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