Researchers at the University of Alberta have developed a new AI-based software––Ensemble Algorithm with Multiple Parcellations for Schizophrenia Prediction, or EMPaSchiz––that will allow physicians to identify schizophrenia in fMRI scans with 87 percent accuracy. Their research was published in NJP Schizophrenia.

Dana Solutions, a California-based AI company, is partnering with the FDA’s Center for Drug Evaluation and Research to improve the drug development process by using AI, the company announced Feb. 25.

Two more surveys have been released showing burnout affects nearly half of physicians. But at this point, some are getting frustrated with the inability to move beyond awareness and toward meaningful improvement.

Julia Graspa, MD, PhD, will oversee the JACC: Case Reports publication, which will start in June, while Bonnie Ky, MD, will be editor-in-chief JACC: CardioOncology when it launches in September. They are the first two women to be editors-in-chief of a JACC journal.

A new machine learning model allows for physicians to determine whether atypical ductal hyperplasia (ADH) could upgrade to cancer, according to new research published in JCO Clinical Cancer Informatics. The model can identify 98 percent of all malignant cases prior to surgery, while sparing 16 percent of women from unnecessary surgeries. 

Niramai Health Analytix, an AI-based diagnostic company, has raised $6 million in funding for its tool that leverages AI to screen for early stage breast cancer.

Arizona-based telehealth company Akos has opened five additional AI-powered health clinics at Phoenix-area grocery stores in a continued push to provide better access to healthcare, the company recently announced.

The use of low-value procedures is harming patients, consuming hospital resources and delaying care for patients for whom the services would be appropriate, according to a new assessment of seven low-value procedures published in JAMA Internal Medicine.