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Accurate assessment of axillary lymph nodes in patients with breast cancer is essential for prognosis and treatment planning. Staging and surgical management have evolved from axillary lymph node dissection to sentinel lymph node biopsy to minimize morbidity. However, sentinel lymph node biopsy has non-negligible morbidity, and more than 70% of biopsies are negative, calling into question its routine use. Magnetic resonance imaging (MRI) can be used to detect and stage lymph node metastases in situ, but its sensitivity and specificity are moderate to poor. Few studies have employed artificial intelligence to detect lymph node metastases on MRI images, and none have used an integrative multidata approach (IMA), defined as modeling the combination of clinical and laboratory data with multiparametric MRI. The primary objective of this retrospective observational study is to improve the acc
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