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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.

Catch up on the top AI-related news and research in radiology over the past month.

Having perspective on what constitutes bad luck, human error or a legitimate beef can prevent a lot of wasted energy on negativity inside and outside of the reading room.

Catch up on the top radiology content of the past week.

Catch up on a variety of FDA news in radiology from the past week.

In addition to providing stronger image quality, well-designed photon-counting CT systems may facilitate increased standardization, efficiency and simplification that may lead to reduced cognitive burden for radiologists.

Reducing false positives in evaluation of muscle invasion in bladder cancer cases that can occur with conventional imaging, spectral information with photon-counting CT may offer significantly improved accuracy and specificity in local staging.

In the latest episode of his “Interventional Radiology in Focus” series, Mina Makary, MD, discusses the appeal of the specialty, key advances in the field in recent years, and the need for increased awareness of what interventional radiology can offer to patients.

The AI-powered software NeuroQuant PET reportedly offers automated quantification and structured reporting and facilitates evaluation of brain scans with multiple amyloid PET radiotracers.

For patients who had successful reperfusion after acute ischemic stroke, new research demonstrated an 80 percent AUC for predicting infarct with the combination of apparent diffusion coefficient (ADC) mapping and relative oxygen ejection fraction (rOEF).

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.

In a recent Practice Academy webinar session, Seena Dehkharghani, MD, FAHA, and Raza Mushtaq, MD, discussed the challenge of burgeoning worklist volume amid the ongoing radiologist shortage and the emergence of AI advances with enterprise imaging.

The cmAngio 2.0 AI-enabled software reportedly offers new capabilities for quantitative measurement of breast arterial calcification (BAC) as well as age-based contextualization based on mammography assessment.