Standardizing protocols for preclinical PET/CT imaging can help translate research findings to the clinical setting, according to a study published Sept. 27 in the Journal of Nuclear Medicine.

A new magnetic “seed” technology can help radiologists localize breast lesions and offers benefits over traditional wire-guided localization (WGL), reported authors of a study published Oct. 3 in the European Journal of Radiology.

Software that uses AI to make cardiac-ultrasound experts of healthcare workers with no prior ultrasound experience has received “Breakthrough Device” designation from the FDA.

Hospitals with one or more legacy PACS and RIS solutions can now overcome interoperability challenges and limitations with a new suite of solutions from Intelerad Medical Systems™, a leader in enterprise workflow and medical imaging solutions. Intelerad’s Imaging Connectivity Suite™ will enhance legacy systems to deliver modern workflows that provide highly secure and rapid access to medical images and diagnostic results.

An algorithm designed to unfold MRI scans of the placenta may allow doctors to more accurately identify and treat issues with the organ during pregnancy, according to new research out of MIT’s Computer Science and Artificial Intelligence Laboratory.

An x-ray interpretation system driven by AI can decipher images in just 10 seconds, compared to 20 minutes or more for its physician counterparts.

A new high-performance, low magnetic-field MRI system developed, in part, by researchers at the National Institutes of Health (NIH) can produce higher-quality images of the lungs and heart and may be safer for patients with implanted devices.  

The National Cancer Institute—part of the National Institutes of Health (NIH)—has awarded researchers at the University of Arizona Health Sciences $3.6 million to investigate a new imaging-based method to detect breast cancer.