机器学习模型基于MRI特征可术前区分乳腺癌HER2表达水平。 乳腺癌是女性中最常被诊断的癌症之一，其异质性强，治疗方案及预后因分子亚型而异。HER2的精准评估对于选择靶向治疗方案至关重要。传统上，HER2状态被划分为阳性（过表达）与阴性。近年来，HER2低 ...

本研究评估了乳腺影像报告和数据系统（BI-RADS）在基层医疗机构的应用效能，通过8996名35-64岁中国中部女性的多模态影像数据（手持超声HHUS、自动乳腺超声ABUS和乳腺X线摄影MG），验证了基层放射科医生能有效依据BI-RADS第5版对恶性特征（如不规则形态、模糊 ...

An AI system improves diagnostic accuracy and specificity in breast MRI, reducing false positives and variability in lesion assessment.

Optimization of a deep convolution neural network (DCNN) for osteosarcoma necrosis quantification and outcome prediction. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This ...

本研究评估O-RADS MRI系统在诊断卵巢病变良恶性中的准确性，采用病理学作为金标准。纳入2025年1-6月Karachi某医院145例18-65岁 ...

Discussions About Goals of Care and Advance Care Planning Among Adolescents and Young Adults With Cancer Approaching the End of Life We conducted a retrospective study of contrast-enhanced breast MRIs ...