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.

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.

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.  

Tel Aviv, Israel-based Aidoc has received FDA approval for its new AI solution that helps specialists triage cervical spine fractures.

HHS, with the Departments of Labor and Treasury, has issued a new rule to expand the use of health reimbursement coverage, which provide tax-preferred funds for employees to buy their own insurance on the individual market.

Imaging Innovation Awards will recognize private radiology practices and/or hospital radiology departments that have combined creative thinking with coordinated teamwork to develop a notably original breakthrough in some particular aspect of medical imaging. Enter today!