A state medical board is coming under fire for failing to revoke the license of a radiologist who allegedly missed 24 breast cancers over three years.

Synthesizing contrast-enhanced imaging from pre-contrast inputs using deep learning can help overcome obstacles involved in the use of GBCAs.

Breast-imaging specialist Amy Patel, MD, has already been named Fan No. 1 by her hometown Kansas City Chiefs. Now she’s up against national championship finalists from the NFL’s 31 other teams.

Personalized breast cancer screening programs could help women better understand their personal cancer risks and guide providers in recommending mammographic assessments based on these risks. 

The presence of breast arterial calcifications on mammography exams might not be as indicative of cardiovascular risk as previously thought, according to new data.

For women with dense breasts, it can be particularly challenging to differentiate between actual and perceived breast cancer risks.  

Pregnant women who felt stressed by healthcare disruptions caused by the COVID-19 pandemic radiated the unease to their developing offspring. The effects were observable on fetal MRI of both brainstem structure and functional activity.

In a new paper in Radiology, experts explain how the use of artificial intelligence to identify lesion subtypes could benefit both clinics and patients.