Mammography

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

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

In the latest episode of her “Breast Imaging in Focus” series, Manisha Bahl, M.D., offers a closer look at pertinent findings from the GEMINI study, including one AI integration model that facilitated over a 10 percent increase in cancer detection and a 31 percent decrease in radiologist workload.

Initial breast cancer risk scoring with adjunctive AI assessment of screening mammograms increased by approximately 80 percent in a subsequent screening round for women with breast cancer, according to research findings presented at the European Congress of Radiology.

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

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

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

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

The use of adjunctive AI led to higher detection of breast cancer in women with dense breasts as well as increased detection of invasive cancer and lobular cancer, according to new research involving over 100,000 screening DBT exams.

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

In the debut of her new “Breast Imaging in Focus” series, Manisha Bahl, M.D., discusses the recently published Lancet study on AI, mammography and interval breast cancer, and shares her perspective on the potential impact of these findings for breast radiologists.

Artificial intelligence scores > 73.5 percent for mammography were associated with over a threefold higher cumulative incidence rate for ipsilateral recurrence of DCIS in women treated with breast-conserving surgery, according to new research.

Employing digital breast tomosynthesis for biopsy guidance facilitated significantly lower radiation dosing than digital mammography guidance with no difference in malignancy rates, according to new research involving over 1,600 patients.

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

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

Flagging DBT images that may warrant a more expedited review, the CogNet AI-MT+ platform can reportedly be integrated into existing IT systems to facilitate workflow efficiencies for radiologists.

Wendie Berg, M.D., Stamatia Destounis, M.D., and Amy Patel, M.D., share their thoughts and perspectives on key findings from the Lancet mammography study on AI and interval breast cancer, and how they have incorporated AI into their practices.

In a recent interview, Amy Patel, M.D., discussed key targets in legislation for breast imaging in 2026 and offered advice for breast radiologists seeking to get more involved in advocacy.

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

In a comparative study involving over 105,000 women, researchers found the use of adjunctive AI for mammography triage resulted in a 16 percent lower rate of invasive interval cancers in comparison to double reading by radiologists without AI.

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

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

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

In recent interviews, Rajesh Bhayana, M.D., Manisha Bahl, M.D., and Jeremie Calais, M.D., Ph.D., shared their thoughts on agentic AI, key directions in breast imaging research and emerging trends with prostate cancer theranostics in 2026.

In a recent interview, Manisha Bahl, M.D., discussed recent research demonstrating a significant decline in the sensitivity of digital breast tomosynthesis (DBT) with increasing breast density as well as challenges in the utilization of supplemental imaging for women with dense breasts.