Medical Imaging

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.

Zebra Medical Vision (Zebra-Med), an Israel-based deep learning imaging analytics company, announced it was granted CE certification for two of its AI-based products intended to speed up clinical review and diagnosis. One is for pneumothorax in chest x-rays and the other helps radiologists detect brain bleeds in CT scans.

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.

California-based Pr3vent Inc., an AI healthcare company, closed its Series A financing, spearheaded by venture capital firm InFocus Capital Partners. 

A new framework combining machine learning and radiomics will help distinguish between low- and high-risk prostate cancer, according to new research published in Scientific Reports.

As the healthcare industry shifts to providing more personalized care, the precision medical imaging market could see tremendous growth thanks to new technologies, such as AI and deep learning, clinical decision support software, sensors, 3D printing and precision analytics, according to a report from Frost & Sullivan.

An AI algorithm helped determine adult women’s brains are, on average, a few years younger than the brains of males of the same age, according to research published in the Proceedings of the National Academy of Sciences.

A deep learning model classified acute and nonacute pediatric elbow abnormalities on radiographs in trauma with 88 percent accuracy, according to new research published in Radiology: Artificial Intelligence

AI for image analysis is predicted to be the top digital health technology for 2019 based on a survey of healthcare professionals, according to Forbes.