Those include an AI offering from Oxford, England-based Ultromics, which automates cardiac analysis to help with early detection of cardiovascular disease.

A pair of Penn researchers will scan 100 awake 3-5 year old children, comparing the quality of traditional MRI methods to those taken using a motion-correction technology to better understand the connection between opioids and brain development.

Polymyalgia rheumatica is a musculoskeletal disorder that causes aching and stiffness in the upper arms, neck, lower back and thighs and can be difficult for clinicians to confidently pinpoint since its symptoms occur in many other rheumatic diseases.

Researchers working for the U.S. government have used deep learning to evaluate stem cell-derived tissue samples, sharing their findings in the Journal of Clinical Investigation.

The boost in efficiency for measuring such scarring could make it easier for clinicians to overcome the time-consuming process of quantifying late gadolinium enhancement (LGE)—a proven predictor of hypertrophic cardiomyopathy.

XACT Robotics, a radiology technology company with offices in the United States and Israel, raised $36 million in its latest financing round.

That’s according to a new survey of healthcare stakeholders, highlighted in November’s European Journal of Radiology. 

In fact, clinicians who took a second look at x-rays using the deep learning software improved their sensitivity, on average, by 5.2%.