A team of researchers in San Francisco have developed an EHR-driven deep learning model that’s able to accurately predict the prognosis of patients with rheumatoid arthritis (RA), according to a study published in JAMA Network Open.

Artificial intelligence and radiomics can help specialists predict how patients with non–small cell lung cancer (NSCLC) will respond to chemotherapy, according to new research published in Radiology: Artificial Intelligence.

Researchers from the Rochester Institute of Technology are leveraging “natural processes” to provide insights into heart health with a toilet seat-based cardiovascular monitoring system.

Pittsburgh-based startup SpIntellx has been awarded a $225,000 research grant by the National Science Foundation to further develop its HistoMapr-Breast system—an AI that images whole-slide samples and acts as a computational guide for pathologists.

The department of radiology at New Zealand’s Timaru Hospital participated in the Headscarf for Harmony event as a sign of respect for the area’s Muslim community following the tragic Christchurch shootings on March 15.

National Mobile X-Ray, a Lakeway, Texas-based mobile imaging provider, announced that it has acquired Asheville, North Carolina-based MMDS Mobile X-Ray.

Anthem Blue Cross is collaborating with Stanford to launch the AI for Health Affiliation program, a corporate affiliates program within the Stanford Department of Computer Sciences that will fund research on how AI can improve the efficiency and value of Anthem Blue Cross and its health plans.

A post-FDA approval study of Abbott’s CardioMEMS heart failure sensor found the device reduced HF-related hospitalizations by 58 percent in a trial group of 1,200 patients, researchers reported at this year’s American College of Cardiology symposium in New Orleans.

Breast density assessments using digital breast tomosynthesis (DBT) and synthetic mammography (SM) vary significantly compared to those performed using standard digital mammography (DM), according to a new study published by Radiology.

Compared to using standard or full-field digital mammography (FFDM), administering mammograms with digital breast tomosynthesis (DBT) reduces the risk of benign biopsies while maintaining a favorable cancer detection rate, according to research out of the U.K.