Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

Attempts to use computers to aid in the detection of breast malignancies date back more
than 20 years. Despite significant interest and investment, this has historically led to minimal …

According to the World Health Organization, climate change is the single biggest health
threat facing humanity. The global health care system, including medical imaging, must …

Accurate and automatic segmentation of fibroglandular tissue in breast MRI screening is
essential for the quantification of breast density and background parenchymal …

Objectives Artificial intelligence (AI) methods can be applied to enhance contrast in
diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) …

Abbreviated MRI is an umbrella term, defined as a focused MRI examination tailored to
answer a single specific clinical question. For abbreviated breast MRI, this question is:“Is …

Background The level of background parenchymal enhancement (BPE) at breast MRI
provides predictive and prognostic information and can have diagnostic implications …

Artificial intelligence (AI) has numerous applications in radiology. Clinical research studies
to evaluate the AI models are also diverse. Consequently, diverse outcome metrics and …

In breast imaging, there is an unrelenting increase in the demand for breast imaging
services, partly explained by continuous expanding imaging indications in breast diagnosis …

Despite its benefits for tumour detection and treatment, the administration of contrast agents
in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues …