The National Institutes of Health (NIH) has launched a new artificial intelligence (AI) program, backed by $130 million in funding, that aims to expand the use of AI in the biomedical and research communities.

In particular, the experts paid close attention to instances of extrathyroidal extension (ETE) on ultrasound. 

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports. 

A new analysis offers a detailed comparison of soft-tissue lymphomas and soft-tissue tumors based on imaging characteristics from MRI scans—an area of study that has not yet been rigorously explored, the authors of the paper indicated.

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

Parents-to-be consider prenatal ultrasound imaging a ceremonial custom they don’t want to miss out on.

Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, discusses multiple factors involved in the adoption rate of artificial intelligence in radiology.
 

The Swedish imaging IT and cybersecurity company best known as a highly rated PACS supplier has retooled its enterprise imaging platform to incorporate genomics data.