Diagnostics

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.

With alcohol misuse playing a role in more than 25 percent of trauma cases, Loyola University researchers have developed a method that uses AI to predict the signs of alcohol misuse in these patients. The method could serve as an affordable option for trauma centers.

A new AI method that allows physicians to identify and predict the development of symptoms in post-chemotherapy patients is being tested by researchers from the University of Surrey and the University of California. Findings of the study were published in Scientific Reports.

Researchers from the Imperial College London and the University of Melbourne created a new AI algorithm that is four times more accurate in predicting survival rates among ovarian cancer patients. The tool was also able to determine the most effective treatment for patients who exhibit ovarian cancer. Research findings were published in Nature Communications.