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

Radiologists should consider multiple issues when analyzing medical images used as part of gender affirmation surgeries. By Brian Casey, AuntMinnie.com staff writer

Men who regularly engage in high levels of physical activity are at an increased risk of having elevated CT coronary artery calcification (CAC) scores. | AuntMinnie.com | By Abraham Kim, staff writer

A new study has found wide variation in radiation dose levels used for CT scans, potentially exposing patients to unnecessary radiation. | AuntMinnie.com | By Philip Ward, staff writer

The complication rates and subsequent costs of invasive diagnostic procedures ordered after positive CT lung screening exams were two times greater in clinical practice. | AuntMinnie.com | By Abraham Kim, staff writer

A newly created three-dimensional (3D) neural network can improve the detection of pulmonary nodules on CT scans, according to a study published July 12 in PLOS ONE. Matt O'Connor | Artificial Intelligence | www.healthimaging.com

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

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.

New results from the Dutch-Belgian Randomized Lung Cancer Screening (NELSON) trial have reaffirmed that CT lung cancer screening can significantly reduce mortality for high-risk smokers, producing a 26% mortality reduction in men. By Abraham Kim, AuntMinnie.com staff writer

Researchers from the U.K. have developed an artificial intelligence (AI) algorithm capable of accurately detecting and rating the severity of brain lesions on CT scans of patients presenting with stroke or dementia. By Abraham Kim, AuntMinnie.com staff writer