
In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.
Seven companies went toe-to-toe in the Stanford MCDT workstation faceoff, their systems driven by 14 radiologists navigating four cases. It was three hours of intense interpretations, packaged into five-minute blocks stacked end to end. Greg Freiherr winds it up in the fastest 90 seconds in radiology.





