What a Great Show! RSNA 2018 was a truly dynamic event, brimming with innovations and advances in Radiology.

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

A new product from Otolith Labs could help VR users overcome motion sickness and the UN has partnered with Google and Makhulu Media for World AIDS Day. VRSCOUT

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

ML Tool Detects Biomarker in Stroke Patients. RSNA/AAPM Symposium Focuses on Low-dose CT. Human Factors Impact Reporting of Safety Events. MRI-Based Technology Promising in Alzheimer’s. RSNA Online Series Targets Health Care Economics.

An artificial intelligence (AI) algorithm improved the performance of nonradiology physicians and even thoracic radiologists for detecting malignant pulmonary nodules on chest radiographs. By Erik L. Ridley, AuntMinnie staff writer

The adoption of machine-learning techniques to aid in diagnosis should be done with radiologists’ guidance. Phil Shaffer | The Scientist Magazine®