A machine learning method trained on synthetic breast ultrasound elastography images accurately classified tumors when applied to real-world images.Matt O'Connor | Artificial Intelligence | Health Imaging

European researchers have identified a visual sign on 3-tesla MR images that effectively diagnoses and distinguishes multiple sclerosis (MS) from other conditions with similar symptoms. By Wayne Forrest, AuntMinnie.com staff writer

A new three-dimensional (3D) tissue imaging technique can help scientists noninvasively study cells and may lead to improved treatments for a variety of diseases. Matt O'Connor | Advanced Visualization | Health Imaging

Fractional flow reserve derived from CT (FFR-CT) is a superior predictor of long-term outcomes of heart disease compared to traditional coronary CT angiography (CCTA). Matt O'Connor | Cardiovascular Imaging | Health Imaging

The compact disc (CD) has increasingly become an obsolete form of storage that's no longer readily accessible by many computers. By Erik L. Ridley, AuntMinnie staff writer

Now, engineers at the Boston University Photonics Center have developed a new device, small enough for a patient to wear inside the machine. By Michael Irving, New Atlas

By Matt O'Connor | Diagnostic Imaging | Health Imaging

AI and machine learning can help physicians rapidly and accurately diagnose diseases—but deployment has been a challenge. Discover how new edge solutions simplify computer vision and data analytics. By Robert Moss, insight.tech

Artificial and augmented intelligence are driving the future of medical imaging. Tectonic is the only way to describe the trend. And medical imaging is at the right place at the right time. Mary C. Tierney, MS | Artificial Intelligence | AI in Healthcare

Until now, the $168 million facility was producing limited amounts of Mo-99, a radioisotope used in approximately 85% of all Australian nuclear medicine procedures such as SPECT scans. Matt O'Connor | Molecular Imaging | Health Imaging