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Qilu Hospital of Shandong University, Shandong Key Laboratory of Reproductive Health and Birth Defects Prevention and Control, 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.
Training-free anomaly classification in prenatal ultrasound can now be achieved with just a few reference images, revolutionizing diagnostic accessibility.
