Key Medical Imaging Trends to Watch in 2025 As we move further into 2025, the medical imaging industry is evolving rapidly, driven by technological advancements, changing healthcare needs, and economic factors. From AI-powered innovations to expanding imaging access in underserved areas, these trends will shape radiology, diagnostics, and patient care in the coming year. Here...

James Min, MD, founder and CEO of Cleerly and a former president of the Society of Cardiovascular Computed Tomography (SCCT), surprised many in cardiology when he left his successful academic career to create Cleerly. The goal, he says, was to address what he saw as a major unmet need in healthcare. Read More

A new MRI technique is said to be able to more accurately detect breast cancer by “lighting up” malignant tissue on images. Read More

Celebrating International Women’s Day in Radiology International Women’s Day (IWD) is a global celebration of the achievements of women across all fields, and radiology is no exception. Women have played a crucial role in shaping medical imaging, breaking barriers, and advancing the field through innovation, leadership, and resilience. As we celebrate IWD, it’s important to...

Deep learning reconstruction (DLR) has the potential to significantly improve the quality of breast MRIs in both accelerated and high-resolution acquisition settings. Read More

Researchers have developed a new artificial intelligence model capable of outperforming publicly available segmentation algorithms. Read More

A new artificial intelligence-based software aimed at improving the quality of MR imaging was just cleared by the U.S. Food and Drug Administration. Read More

GE Healthcare is making moves to increase its supply of much-needed contrast media used for millions of medical exams annually. Read More

Researchers at Case Western Reserve University, University Hospitals and Houston Methodist will harness AI to more accurately predict risk of heart failure and other cardiovascular events, including estimating when an adverse event might occur, by developing an AI model that “learns” from patient scans. Read More

Artificial intelligence can be a beneficial assistive tool for triaging women who would benefit from supplemental MRI screening based on their mammogram findings. Read More