When patients with substance dependence issues are shown cues or images related to such substances, activity in a specific area of the brain increases, according to an fMRI-based study published in Translational Psychiatry. The results may have implications for addiction treatment.

Aidoc and SaferMD are joining forces for a new solution that will use artificial intelligence (AI) to improve clinical results and give radiologists higher Medicare Merit-Based Incentive Payments System (MIPS) scores.

A deep learning algorithm showed capability in screening chest x-rays for diseases similar to the interpretations of trained radiologists, but did so in a matter of seconds, according to Stanford University researchers.

Breast radiologists had slightly higher diagnostic performances when using artificial intelligence (AI) with no additional reading time required, according to a study published Nov. 20 in Radiology.

Artificial intelligence (AI) support systems for reading mammograms can improve a radiologist’s ability to detect cancers, according to a new study published in Radiology. Using the system, the authors added, does not lengthen the overall reading time.

Three-dimensional (3D) MRI is similar to 2D for diagnosing meniscus knee injuries, but may be able to cut down on image acquisition time, reported authors of a Nov. 20 study published in Radiology.

Images from the world’s first whole-body MRI scanner are set to be presented at this year’s 2018 RSNA Annual Meeting in Chicago, according to a University of California, Davis statement.

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.