Researchers developed machine learning models to predict venous thromboembolism in older internal medicine inpatients, ...

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

It's going to "optimize placement of incarcerated individuals." The post Prisons Using AI to Predict When Incarcerated People ...

A simple selfie could hold surprising clues to your overall health and longevity, especially among people with cancer. Researchers at Mass General Brigham in Boston have developed artificial ...

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...

• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...