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What CCTA-Based AI Detection of Coronary Inflammation May Reveal About Patients with No Traditional CV Risk Factors

Elevated coronary inflammation, measured with the CCTA-derived and AI-enabled perivascular fat attenuation index (FAI) score, was associated with over a 12-fold higher risk for cardiovascular mortality in patients with no diabetes, hypertension, smoking history or obesity, according to new research presented at the European Society of Cardiology (ESC) Congress.

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.