Medical Imaging | March 2020

Ping An has launched a new AI-powered system for evaluating CT scans for signs of the Wuhan coronavirus, or COVID-19.

AI algorithms can improve the overall quality of breast cancer screenings, according to a new study published in JAMA Network Open.

SymphonyAI Group, a private group of companies specializing in AI, announced Wednesday, March 4, that it has acquired TeraRecon. No financial details have been shared at this time.

Numerous deep learning models can detect and classify imaging findings with a performance that rivals human radiologists. However, according to a new study published in the Journal of the American College of Radiology, many of these AI models aren’t nearly as impressive when applied to external data sets.

Augmented reality (AR) technology could play a pivotal role in the interventional radiology (IR) suite of the future, according to a new study published in the Journal of Vascular and Interventional Radiology.

Machine learning-based CT texture analysis can help with the evaluation of solid renal masses, according to new findings published in Academic Radiology. Could this help reduce the number of patients undergoing unnecessary surgeries?

AI is expected to impact radiology more than perhaps any other medical specialty. In healthcare, though, nothing is a given.

As AI continues to make a profound impact on the medical imaging industry, the FDA is hosting a two-day public workshop to discuss the benefits and risks of this powerful technology.