In the latest in an international trade war, China has imposed $60 billion in tariffs on imported U.S. goods on Monday, Sept. 17, in retaliation against President Donald Trump imposing $200 billion worth in tariffs on Chinese imported goods—including medical imaging equipment and other healthcare technologies, NPR reports.

Artificial intelligence (AI)-focused startup Qure.ai published a study Tuesday, Sept. 18, validating its chest x-ray algorithm trained on 1.2 million chest scans and radiology reports.

The International Contrast Ultrasound Society (ICUS) has urged the U.S. FDA to remove boxed warnings from ultrasound contrast agents based on research demonstrating its safety and clinical benefits.

Canadian researchers discussed the growing epidemic of radiology burnout in a recent article in the Journal of the American College of Radiology.

Case Western Reserve University School of Medicine in Cleveland announced it has received a three-year, $1.1 million grant from the National Institutes of Health (NIH) to research a novel imaging technique for diagnosing peripheral arterial disease, according to a university release.

Patients with high-deductible health plans (HDHPs) continue to see out-of-pocket costs rise. Despite this, healthcare prices remain largely a mystery to consumers—but what if a hospital helped families better understand their potential out-of-pocket expenses?

On Monday, Sept. 17, Indianapolis-based TriMedx announced plans to buy the healthcare technologies division of Aramark Corporation for $300 million. The two companies have signed a definitive agreement and expect the transaction to be completed by the end of the year.

Ohio State University Wexner Medical Center acquires latest addition to SOMATOM go. CT platform, which addresses advanced clinical fields and applications

Using PET imaging in addition to conventional CT imaging for women with locally advanced cervical cancer may identify more detailed malignancies and change treatment plans, according to research published online Sept. 14 in JAMA Network Open.

An artificial intelligence (AI) algorithm created by NYU School of Medicine researchers distinguished between two forms of lung cancer with 97 percent accuracy, according to a study published in Nature Medicine.