A new AI software can quickly and accurately determine the manufacturer and model of a cardiac rhythm device from an x-ray, possibly speeding up treatment when the devices fail.

Pittsburgh-based startup SpIntellx has been awarded a $225,000 research grant by the National Science Foundation to further develop its HistoMapr-Breast system—an AI that images whole-slide samples and acts as a computational guide for pathologists.

Canadian researchers working with Toronto General Hospital-University Health Network have developed a natural language processing (NLP) approach to predicting downstream radiology resource utilization, according to work published in the Journal of the American College of Radiology March 2.

Though the idea of artificial intelligence displacing radiologists worries more than half of surveyed medical students interested in an imaging career, radiology programs have seen a spike in applications in recent years, according to work published in Academic Radiology.

AI systems can detect breast cancer just as well as radiologists, according to a study published March 5 in the Journal of the National Cancer Institute.

Aidence, a Netherlands-based medical imaging company, has raised about $11.3 million in funding to expand its AI-powered platform for detecting lung cancer.

There are four areas in which AI must excel to become clinically viable in women’s medical imaging—particularly mammography: performance, time, workflow and cost, according to an opinion article published in the American Journal of Roentgenology.

Kettering Health Network, an Ohio-based health system, is using AI to reverse the effects of strokes quicker, according to a report by WDTN News.