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Emerging Research in Mammography, Breast MRI, Ultrasound and AI: A Summer Roundup of Key Breast Imaging Studies

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.

Beyond Detection: AI that Evolves Radiology

In a recent Practice Academy webinar session, Nina Kottler, MD, MS, FSIIM, FAIM, discussed challenges with narrow AI applications, the continued emergence of foundation models and a potential trajectory with AI that may facilitate a combination of opportunistic screening and prognostic risk assessment.