Researchers at the University of California, San Francisco found Google Translate, Google’s AI-based app, can help non-English speaking patients and their providers. However, it's not perfect, according to research published in JAMA Internal Medicine.

A new machine learning-based system, detailed in the journal Frontiers in Neurology, screens children for fetal alcohol spectrum disorder (FASD) in a quick and more cost-efficient way. The system was developed by researchers at the University of Southern California, Queen’s University in Ontario and Duke University, and will be accessible to children in more remote areas of the globe. 

An AI-based sepsis screening tool could better help physicians find patients most at risk of developing the illness after it outperformed other traditional screening methods, according to a study published in the Annals of Emergency Medicine.

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.

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.

After being challenged by an ALS group to study the disease closer by using data, a machine learning researcher has developed an AI platform designed to monitor and predict the progression of neurodegenerative diseases.

A new AI-powered diagnostic tool launched by global cosmetic company L’Oreal allows women to upload a selfie to detect if their skin is beginning to show signs of aging and obtain treatment advice.

Physician burnout is undoubtedly a serious issue in the medical profession—and it often stems from physicians’ EHR use, which, by some estimates, accounts for up to six hours of their daily work load. That's six hours is not dedicated to visiting with patients, a new article in Forbes suggests.

More than 300 companies, universities and organizations are investing more than $260 million to support 16 new centers for doctoral training in AI in the United Kingdom.