Orthopedic cone-beam CT supplier CurveBeam AI has received the FDA’s breakthrough device designation for software that computes risk of fracture in patients with osteopenia.

If you want to know how radiologists will learn their jobs 10 to 20 years from now, take a look at the ways schoolkids learn their subjects in the 2022-23 school year.  

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

While the number of possible mutations of the SARS-CoV-2 spike protein would be overwhelming for humans to analyze, machine learning may be able to offer critical insights for next-generation vaccines and antibody treatments. 

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.

According to the new data, students believe that emerging technologies, including artificial intelligence, could eventually render some specialties obsolete.

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 FDA has OK’d an algorithm that automatically ratios the diameter of the right ventricle vs. that of the left on CT pulmonary angiography studies for patients with pulmonary embolism (PE).