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

Matt O'Connor | Diagnostic Imaging | Health Imaging

MIT researchers have developed a near-infrared imaging technique that can detect tumors deep in internal tissue before the cancer grows beyond a few hundred cells. Dave Pearson | Oncology Imaging | Health Imaging

Automated breast ultrasound (ABUS) is more accurate than digital breast tomosynthesis (DBT) as a diagnostic tool for working up positive findings on mammography screening in dense breast tissue. By Kate Madden Yee, AuntMinnie.com staff writer

The rapid development of artificial intelligence (AI) technology for radiology applications has led to concerns over how to ensure its safe and appropriate use. In response, seven prominent. By Erik L. Ridley, AuntMinnie staff writer

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

Interactive multimedia radiology reports better meet the needs of clinicians than traditional text-based reports, while radiologists benefit from greater efficiency. By Erik L. Ridley, AuntMinnie staff writer

Visualization of pelvic bone CT scans, enabling radiologists and osteologists to identify key features for age estimation without invasive preparation. By Abraham Kim, AuntMinnie.com staff writer

Giving patients eye shields to protect the eye lens from radiation during CT scans resulted in some image artifacts, but these rarely affected exam interpretation. By Abraham Kim, AuntMinnie.com staff writer

AI algorithm was able to accurately identify chest radiographs that contain abnormal findings, enabling automated triage of these exams so they can be interpreted sooner by radiologists. By Erik L. Ridley, AuntMinnie staff writer