The scanner—installed at the University of Southern California’s Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) in February 2017—may help in the development of care, treatment and monitoring of patients with Alzheimer’s disease, multiple sclerosis and other neurological diseases.

Nicole Dhanraj, PhD, chief of radiology at the Guam Memorial Hospital Authority in Tamuning, Guam recently discussed what moral injury is in radiology and how leadership and department employees can help this underrated issue, in an online session for the AHRA 2018 Virtual Fall Conference.

High-resolution MRI machines can achieve greater resolution when radio probes are changed from coils to antennas, reported researchers in a recent study published in Transactions on Microwave Theory and Techniques.

U.S. Senator Tammy Duckworth and congressional candidate Brendan Kelly joined dozens of veterans in Marion, Illinois, on Tuesday for a roundtable to discuss ongoing concerns raised by radiologists at the Marion VA Medical Center, ABC 3 reported.

Using a breast MRI tumor dataset, researchers found a deep learning convolutional neural network (CNN) approach could be trained to predict responses to chemotherapy prior to its initiation, according to a recent Journal of Digital Imaging study.

A new imaging collaboration between researchers at the Walter and Eliza Hall Institute’s Center for Dynamic Imaging in Australia has revealed cancer cell findings that may help predict how cells respond to chemotherapy and our overall understanding of the disease, according to a release from the Institute.

A pilot study conducted by researchers at the University of Maryland Medical Center in Baltimore has successfully treated the first U.S. patient using MRI-guided focused ultrasound for chronic neuropathic pain, according to a university press release published Oct. 28.

"Several studies have shown that the size of different organs is an important factor in cancer development. For example, women with larger breasts have a greater risk of breast cancer. We wanted to check if this was also the case for brain tumors," said lead author of a new study, Even Hovig Fyllingen, in a prepared statement.

The American College of Radiology Data Science Institute (ACR DSI) recently released a series of standardized artificial intelligence (AI) use cases to help advance imaging in AI. Down the road, they could help create an “AI ecosystem” for radiology, wrote Bibb Allen, MD, chief medical officer of the ACR DSI, in a recent Journal of the American College of Radiology editorial.

A team of researchers from Cleveland has developed a three-dimensional (3D) MR fingerprinting method for breast imaging which may better evaluate breast tumors, according to an Oct. 30 study published in Radiology.