Amid the burgeoning imaging volumes and ongoing radiologist shortage, this author suggests that more active involvement by radiologists in the creation and development of AI models could go a long way.

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

Catch up on the most-well viewed radiology content in October 2026.

Catch up on the most well-viewed radiology video interviews from Diagnostic Imaging in September 2026.

In a recent interview, Carolynn DeBenedectis, MD, discussed the utility of AI-enabled slab reconstruction for interpretation of digital breast tomosynthesis (DBT) and new research showing a 13 percent reduction in reading time.

In a new podcast episode, Manisha Bahl, MD, MPH, FSBI, offers pertinent insights into a recent study assessing whether AI models for breast cancer detection and short-term risk prediction can be used interchangeably.

In a new webinar program, Raj Chopra, MD and Peter Reilly share their insights on the importance of cybersecurity, keys to effective downtime communication, the ripple effects and costs of security breaches, challenges with AI and practical safeguards.

Use of the AI-enabled slab technology from reconstructed DBT imaging led to a 7.4-second mean reduction in reading time in a new study involving 391 cases and 15 reviewing radiologists.