Artificial intelligence (AI) technologies are advancing at a rapid rate and starting to make a direct impact on breast imaging. There is still a lot of work to be done, however, before AI can truly be trusted with making decisions that may impact a patient’s survival, according to a new commentary published in the American Journal of Roentgenology.

MRI scans using diffusion tensor imaging (DTI) show potential for predicting if a patient will develop Alzheimer’s disease later in life, according to findings to be presented at RSNA 2018 in Chicago.

EXPLORER, a new total-body PET/CT scanner, is the world’s first medical imaging equipment to produce 3D pictures of the entire human body—and its initial images are headed to RSNA 2018 in Chicago.

Women 75 years and older should still continue to undergo annual screening mammograms, according to a new study to be presented at RSNA 2018 in Chicago.

As the impact and influence of social media continues to grow, how can radiologists and other imaging professionals use it to their advantage?

The 2018 American College of Radiology (ACR) Digital Mammography Quality Control Manual with Digital Breast Tomosynthesis (DBT) is now available online, the ACR announced this week.

Researchers at the State University of New York at Stony Brook have demonstrated a deep-learning algorithm that can quickly diagnose early-stage lung cancer on CT scans by combining computerized self-trained tumor identification with engineered identification of specific tumor features.

Adding magnetic resonance spectroscopy (MRS) to MRI does not significantly improve the classification of brain tumors in clinical practice, although MRS may be a valuable supplement to MRI in certain cases, according to researchers from Sweden's Uppsala University.

When ultrasound reveals shoulder muscles that appear especially “bright,” it may be a warning sign of diabetes, according to findings to be presented at RSNA 2018 in Chicago.