Trained to see patterns by analyzing thousands of chest x-rays, a computer program predicted with up to 80% accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study finds.
A new University of Iowa study challenges the idea that gray matter is more important than white matter when it comes to cognitive health and function.
Exercise appears to reduce the long-term risk of bronchiectasis, a potentially serious disease of the airways, according to a study published in the journal Radiology.
For patients with brain metastases, amino acid PET can provide valuable information about the effectiveness of state-of-the-art treatments.
A deep learning algorithm accurately predicts the risk of death from cardiovascular disease using information from low-dose CT exams performed for lung cancer screening, according to a study published in Radiology: Cardiothoracic Imaging.
An automated system that uses artificial intelligence is effective at detecting a common type of wrist fracture on x-rays, according to a study published in the journal Radiology: Artificial Intelligence.
SNMMI and 62 organizations, representing more than 1 million healthcare providers, thanked Congress for its past efforts on physician reimbursement and requested the inclusion of specific provisions in future legislation.
Studies show that Black patients are less likely than their Caucasian counterparts to undergo diagnostic imaging at an emergency room visit—a discrepancy that could have major implications from a medical perspective.
RaySearch Laboratories has signed an agreement with Canon Medical Systems USA enabling RaySearch America's salesforce to promote Canon Medical's Aquilion Large Bore CT and Celesteion PET/CT products.