Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Breast cancer diagnosis and staging is based on mammography, ultrasound, and magnetic
resonance imaging (MRI). Contrast enhanced spectral mammography (CESM) has gained …

Radiomics is an emerging translational field of medicine based on the extraction of high-
dimensional data from radiological images, with the purpose to reach reliable models to be …

DWI is a noncontrast MRI technique that measures the diffusion of water molecules within
biologic tissue. DWI is increasingly incorporated into routine breast MRI examinations …

Numerous imaging modalities may be used for the staging of women with advanced breast
cancer. Although bone scintigraphy and multiplanar-CT are the most frequently used tests …

The diagnosis of breast cancer currently relies on radiological and clinical evaluation,
confirmed by histopathological examination. However, such approach has some limitations …

Background Diffusion-weighted imaging (DWI) is increasingly recognized as a powerful
diagnostic tool and tested alternative to contrast-enhanced (CE) breast MRI. Purpose To …

Simple Summary Nowadays, the only widely recognized method for evaluating the efficacy
of neoadjuvant chemotherapy is the assessment of the pathological response through …

Simple Summary We offer an overview of the state of regulation of AI in healthcare in the
European Union, the United States of America, the China, and the Russian Federation and …

Purpose This study was aimed at evaluating whether a radiomics model based on the entire
tumor region from breast dynamic contrast-enhanced magnetic resonance imaging (DCE …