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

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

Researchers from the U.S. NCI and NIH have developed a standardized grading system using multi-parametric MRI results and certain clinical markers to. By Wayne Forrest, AuntMinnie.com staff writer

Black bone MRI may be a viable, radiation-free alternative to CT for the evaluation of children presenting with abusive head trauma -- particularly for detecting skull fractures, according to a Friday presentation at RSNA 2018 in Chicago. By Abraham Kim, AuntMinnie.com staff writer

Increased signal intensities in different brain regions presumably caused by linear and macrocyclic gadolinium-based contrast agents (GBCAs) could be an indication that gadolinium accumulation is more widespread than previously thought, according to a study presented on Wednesday at RSNA 2018. By Wayne Forrest, AuntMinnie.com staff writer

While the majority of medical students in Germany are aware of the discussion of artificial intelligence (AI) in radiology, most are unafraid of being replaced by AI and are optimistic that it will improve radiology as well as medicine in general, according to research at the RSNA 2018. By Erik L. Ridley, AuntMinnie staff writer

New findings are coming out on almost a weekly basis about trace elements of gadolinium left in human tissue after scans with MRI contrast agents. What do we know about this phenomenon, and how serious is it? We talk to Dr. Robert McDonald, PhD, of the Mayo Clinic in Rochester, MN.

An artificial intelligence (AI) algorithm can accurately predict whether a thyroid nodule is malignant, potentially helping to reduce the number of unnecessary biopsies performed on these patients, according to research presented on Sunday at the RSNA meeting. By Erik L. Ridley, AuntMinnie staff writer