Computer-aided detection boosted by AI has often proven superior to traditional CAD over the past decade, yet the “new way” has been slow to win broad adoption.

The FDA has OK’d two subsidiaries of Los Angeles-based RadNet to sell medical AI software—one product for diagnosing breast cancer, the other for streamlining MRI prostate reporting workflows. 

Combining ensemble AI models with reads from breast radiologists of mixed experience levels can help health systems consistently diagnose malignant architectural distortion on mammography.

AB-MRI is a cost-effective means of screening women with dense breast tissue for breast cancer—as long as the per-exam costs don’t top 82% of what would have been spent to perform full-protocol breast MRI.

In addition to O-RADS external validation, experts also sought to determine if incorporating acoustic shadowing as a benign finding would improve diagnostic performance. 

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.

Using a handheld probe and smartphone, nurse midwives were able to estimate gestational age as accurately as certified sonographers.

Women who underwent magnetic resonance imaging experienced more subsequent scans, procedures, healthcare visits and hospitalizations.