UCLA scientists made the early diagnosis using what’s called pseudo-continuous arterial spin MRI, pinpointing patients who had low blood flow to their placentas

Nearly one in five inductions of labor lead to a required emergency C-section, but current methods to predict such events are largely subjective with low predictive accuracy.

Deep learning techniques have shown potential to change cardiac MRI forever, according to a new analysis published in the American Journal of Roentgenology. However, the authors wrote, it is also important to remember deep learning’s current limitations.

RadNet has announced a new partnership with Santa Clara, California-based Whiterabbit.ai to improve mammography screening rates and breast cancer care through the use of AI and other advanced technologies.

If such technology is made available commercially, it could revolutionize magnetic resonance imaging, noted Stephan Anderson, a Boston Medical Center radiologist and BU School of Medicine professor of radiology. 

The updated guidelines suggest clinicians screen adults ages 50-75 who are at average risk for the disease, and discuss the benefits, harms and costs of the three screening methods prior to undertaking any one procedure.

The algorithm can also reduce imaging time and improve the patient experience.

Clariscan is a gadolinium-based agent indicated for IV use in brain, spine and associated tissues to help detect areas with disruption of the blood brain barrier, or abnormal vascularity.