"Our findings suggest that patients with higher prechemotherapy DHEAS levels had lower odds of developing self-perceived cognitive impairment,” wrote authors of a study published in Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy.

"The global obesity pandemic has not only led to a greater incidence of cardiovascular disease and type 2 diabetes, but has also coincided with a rise in brain diseases, such as accelerated cognitive decline and dementia,” wrote authors of an April 23 study published in Radiology.

“Our research demonstrates that deep-learning models integrating routine imaging scans obtained at multiple time points can improve predictions of survival and cancer-specific outcomes for lung cancer," wrote Hugo Aerts, PhD, in a recent study published in Clinical Cancer Research.

The supply of radiation oncologists hasn’t kept up with the global demand for radiation therapy. But could experts from across the world help create an AI algorithm capable of closing that gap?

The human-level success of deep learning has made some in medicine question whether automation may eventually take over many tasks performed by radiologists. An author, and radiologist, put that question to bed in an April 18 editorial published in the Journal of the American College of Radiology.

Dopamine transporter (DAT) SPECT may be a useful imaging biomarker to determine the severity of Parkinson’s disease, according to an April 17 study published in the American Journal of Roentgenology.

“Our goal was to provide a blueprint for professional societies, funding agencies, research labs, and everyone else working in the field to accelerate research toward AI innovations that benefit patients," wrote lead author, Curtis P. Langlotz, MD, PhD.

A recent NPR report traced the development and approval of the fist AI software approved to diagnose diabetic retinopathy and examined challenges the administration may face as more software makers look to enter the market.