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Shenzhen University, Nanjing Medical 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.
