Publications by authors named "Paola Basile"
Article Synopsis
- The rapid advancement of AI, particularly deep learning (DL) techniques, has transformed healthcare, focusing on improving breast cancer imaging and diagnostics.
- DL models have shown effectiveness in analyzing various imaging methods like mammography and MRI, enhancing diagnostic accuracy and efficiency in breast cancer detection.
- Despite their potential, challenges such as the need for rigorous validation and interpretability are hindering the broader integration of AI into clinical practice.
Purpose: Breast cancer diagnosis often involves assessing the locoregional spread of the disease through MRI, as multicentricity, multifocality and/or bilaterality are increasingly common. Contrast-enhanced mammography (CEM) is emerging as a potential alternative method. This study compares the performance of CEM and MRI in preoperative staging of women with confirmed breast carcinoma.
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