Why radiologists need machine learning curriculum to improve safety, workflow efficiency 

Machine Learning

“If radiologists are expected to utilize machine learning models safely and effectively for imaging interpretation, education for all levels of background and experience will be required, and a formalized machine learning curriculum targeted toward early career radiologists and trainees is urgently needed," Monica J. Wood, MD and colleagues wrote.

3D printing workflow utilizes CT scans to improve aortic valve replacement

With the development of a new three-dimensional (3D) printing workflow, researchers at the Wyss Institute for Biologically Inspired Engineering at Harvard University in Boston may help cardiologists produce more proficient implantable heart valves and determine how different sized valves interact for each patient before surgical intervention for aortic valve replacement, according to a Dec. 10 report by the 3D Printing Media Network.

Patient information incomplete in EHR-based imaging orders compared to clinician notes

Imaging orders sent via electronic health records (EHRs) have less complete—and consequently less reliable—patient information than those found in physician notes on the same patient in the same EHR, according to research published online Dec. 5 in the Journal of the American Medical Informatics Association.