Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Compared to standard hip-to-waist ratio measurements and BMI, the algorithm identifies significantly more instances of metabolic syndrome and its severity in individual patients.  

In some cases, contrast doses can be reduced by as much as 62% without sacrificing diagnostic quality.

The results were so conclusive that the trial was halted at halftime for having met predefined stopping rules. 

Using the latest version was associated with improved diagnostic accuracy, researchers wrote in a new analysis. 

Although DBT exams are proven to identify more difficult to detect cancers, especially among women with dense breasts, they also include significantly more images than standard 2D mammograms. 

Women with dense breast tissue are less likely than normal-density peers to develop breast cancer between screening mammography exams.

Established guidelines recommend biopsying small tumors of the kidney ahead of any procedure to ablate them. A new study confirms the validity of pursuing another pathway.