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AtomiMed achieves a strikingly higher correlation with human radiologist evaluations, transforming how we assess clinical report accuracy.
A tailored vision-language framework boosts diagnostic accuracy on 3D CT imaging by over 5% while enhancing zero-shot reliability through innovative semantic alignment techniques.
RL for radiology report generation can achieve state-of-the-art results with significantly less data by prioritizing data quality and weighting tokens based on their diagnostic importance.
