A machine learning model developed by scientists at Google successfully documented and charted disease symptoms from patient-physician conversations in early tests, but the tech still has a long way to go, according to research published in JAMA Internal Medicine March 25.

An AI-powered intervention supported by Google Glass reinforced facial engagement and emotion recognition in a study of children with autism spectrum disorder (ASD), suggesting the digital approach might be a viable way to support those patients without spending five figures on conventional therapy.  

Smart speakers—devices like the Amazon Echo and Google Home—are reframing the way physicians work in the operating room, allowing for hands-free communication that could cut time and risk, according to research presented at the Society of Interventional Radiology’s 2019 Annual Scientific Meeting in Austin, Texas.

Women and uninsured individuals are the most likely candidates to skimp on daily medications and practice other money-saving techniques in an effort to reduce their prescription drug costs, according to a report published by the CDC this March.

More than a quarter-million people were recently affected by a ZOLL Medical data breach that exposed patient names, addresses, dates of birth, limited medical information and some Social Security numbers, the company announced.

A woman who was on the hook for nearly $227,000 in medical bills after suffering a heart attack and other complications had her balance wiped out by a medical charity waiver, Kaiser Health News reported. But that didn’t save Debbie Moehnke and her husband, Larry, the stress of mounting medical bills and calls from debt collectors, and the story highlights how inconsistent billing practices could impact other patients.

A team of researchers in San Francisco have developed an EHR-driven deep learning model that’s able to accurately predict the prognosis of patients with rheumatoid arthritis (RA), according to a study published in JAMA Network Open.

Pittsburgh-based startup SpIntellx has been awarded a $225,000 research grant by the National Science Foundation to further develop its HistoMapr-Breast system—an AI that images whole-slide samples and acts as a computational guide for pathologists.