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National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University Medical School, Shenzhen University
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A hybrid LLM architecture achieved 99.2% accuracy in O-RADS classification, outperforming traditional methods and highlighting the potential for reliable clinical automation.
Achieving high-accuracy landmark localization in medical imaging without the computational burden of traditional multi-stage methods could revolutionize clinical measurement practices.
