This summer's breast imaging research spanned digital breast tomosynthesis (DBT) efficiency gains, AI models that flag cancer risk years before diagnosis, a cautionary study on automation bias, and advances in ultrasound, MRI, and contrast-enhanced mammography (CEM). Here is a look back at the most well-viewed breast imaging content of the summer.
Can artificial intelligence (AI) redefine risk stratification in mammography? Could deep learning reconstruction bolster breast MRI quality and significantly reduce scan time? Can automated breast ultrasound reduce BI-RADS 3 assessments? Our summer roundup of breast imaging research addresses these questions and more.
