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.

More than 10,000 nurses from Montefiore Medical Center, Mount Sinai Hospital and New York Presbyterian are set to strike April 2 after months of negotiation failed to yield safer nurse-to-patient ratios, the New York State Nurses Association has announced.

Cleveland Clinic this month announced it’s launching a Center for Clinical Artificial Intelligence (CCAI) dedicated to the development and application of AI in medicine.

French pharmaceutical startup Pharnext is leveraging AI and pleiotropy to develop new drug combinations and repurpose existing therapies, Fortune reported March 19.

A multitude of recent studies and success stories suggest artificial intelligence is on its way to topping doctors in accurately diagnosing diseases from asthma to breast cancer—seemingly a step in the right direction. But does the hype surrounding AI’s victories eclipse its shortcomings?