A new algorithm developed by researchers from the California Institute of Technology, Cedars-Sinai Medical Center in Los Angeles, and the University of Salerno in Fisciano, Italy, may be able to predict a person's intelligence quotient from fMRI brain scans.

A team from the University of Wisconsin-Madison successfully used PET imaging to visualize heart damage commonly seen in those with Parkinson’s disease. The technique will help develop therapies.

An AI software developed by researchers from NVIDIA, Aalto University in Finland and MIT may be able to fix low-resolution, grainy or pixelated medical images without previously observing examples of noise-free images.

Many believe Medicare and private payers frequently deny coverage for secondary imaging interpretations—but a team of East Coast researchers found the opposite in a study analyzing Medicare beneficiaries from 2003 to 2016.

Yehudit Abrams, MD, a former NASA biomedical scientist, is planning to develop a handheld ultrasound device that will allow women to monitor their breasts in their homes, according to a July 15 report by The Times of Israel.

GE Healthcare is launching OmnipaqueTM (iohexol) Oral Solution in the United States, a new, ready-to-drink contrast medium that can be used to help physicians diagnose medical conditions by improving the diagnostic visualization of the abdominal gastrointestinal tract.

New research published in the British Medical Journal suggests that increasing high resolution imaging scans are contributing to more accidentally discovered abnormalities, or "incidentalomas," which are unrelated to a patient's diagnosis and are often benign.

The National Electrical Manufacturers Association (NEMA) published its updated guidelines for measuring and reporting performance specifications of PET scanners on Friday, July 13.

A machine learning algorithm trained to analyze MRI images identified schizophrenia patients with 78 percent accuracy, according to a recent study published in Molecular Psychiatry.

Researchers at the University of California, San Francisco (UCSF) found that follow-up imaging for women with non-metastatic breast cancer strongly varies across the U.S. Differences are thought to be caused by varying common clinical practices implemented by multiple physician groups and hospitals.