The Kimia Lab at the University of Waterloo in Ontario, Canada, announced it has received $3.7 million from the Ontario Research Fund-Research Excellence program for its artificial intelligence (AI) search engine project in digital pathology.

The Medical Imaging and Technology Alliance (MITA) announced its support of the FDA's recent decision to promote the adoption of quality management principles in medical equipment servicing, according to a statement released May 15.

On Tuesday, May 16, the vice president of the National Electrical Manufacturers Association (NEMA) testified in front of an Office of the United States Trade Representative (USTR) committee, stating the proposed tariffs on Chinese imports would equate to $2.25 billion in taxes on many of its members, which include medical imaging device manufacturers.

In 2005, just 27 percent of men under 65 passed on immediate therapy and instead opted for “watchful waiting” or “active surveillance” for low-risk prostate cancer. A decade later, in 2015, 72 percent decided on a more conservative approach, according to a JAMA study.

Researchers at Imperial College London and the University of Edinburgh in Scotland developed a machine learning software able to detect small vessel disease, a common cause of dementia and stroke, in brain CT scans with almost 90 percent accuracy.

Patient safety is a foremost concern for radiology departments—but current measures of a safe culture often do not account for the human factors that contribute to the nonreporting of safety issues.

South Korea is the latest nation to incorporate artificial intelligence (AI) in their healthcare system. Today, South Korea's Ministry of Food and Drug Safety approved its first AI-based medical device, according to an article published May 16 by the Korea Herald.

First lady Melania Trump, 48, benefited from a run-in with interventional radiology Monday morning after undergoing surgery for a benign kidney condition, according to a statement from the White House.

A team of U.S. researchers has found a radiomics approach to analyze CT images of lung cancers that may eliminate false positives during cancer screening. It could potentially minimize morbidity, mortality and healthcare costs.

A combination of positive results of flutemetamol F 18–labeled PET data, low hippocampal volume and cognitive status is associated with a higher risk of progression from amnestic mild cognitive impairment (aMCI) to Alzheimer's disease within three years.