News

Researchers have used AI to gain additional insight from the brain MRI scans of multiple sclerosis (MS) patients, sharing their findings in Nature Digital Medicine.

Artificial neural networks (ANNs) can help radiologists classify ground-glass opacities (GGO) with improved accuracy, according to new findings published in Clinical Radiology.

Blockchain technology is gaining popularity throughout the world and could potentially have a significant impact on the medical imaging industry, according to a new analysis published in the Journal of Digital Imaging.

Fujifilm Medical Systems U.S.A. has announced a new breast cancer screening awareness campaign focused on early detection.

Augmented datasets can improve the overall accuracy of deep convolutional neural networks (DCNNs), according to new findings published in Clinical Radiology.

Businessman Vinod Khosla, co-founder of Sun Microsystems and a longtime venture capitalist, said this week that he thinks any radiologist still practicing in 10 years “will be killing patients every day.”

The Medical Imaging & Technology Alliance (MITA) has published three new reports exploring the medical imaging industry’s impact on state economies.

The American Medical Association (AMA) has endorsed a list of healthcare policy recommendations designed to emphasize AI’s ability to improve patient care, reduce costs and support physicians.

Revising the text of a mammography recall lay letter so that it is easier to comprehend can lead to better overall patient care, according to a new study published in the Journal of the American College of Radiology.

Machine learning can help improve the overall performance of CT scans, reducing radiation exposure and boosting image quality, according to new findings published in Nature Machine Intelligence.

Machine learning could be a real game-changer for interventional radiology (IR) in the years ahead, according to a new analysis published in the American Journal of Roentgenology.

Is risk-based mammography screening a more effective strategy for women 40 to 49 years old than age-based screening? A new study published in Radiology aimed to explore that very issue.