Researchers have developed a machine learning system that predicts the severity of arthritis in a pediatric population, allowing for treatment to be personalized. Findings of their research were published in PLOS Medicine.

As the number of diabetes cases continues to rise in India, Google and Verily, the life sciences research organization under Alphabet, have a solution to better screen for the disease and associated eye diseases.

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.

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.