Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...

Colorectal cancer remains one of the most common and deadliest malignancies worldwide, and the difference between a favorable ...

Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

A novel machine learning-based risk assessment tool successfully identified hospitalized patients at risk for acute kidney injury (AKI) and triggered early nephrology consultation, but the ...

A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

Artificial intelligence (AI) may help identify women and babies at risk of serious health problems earlier in pregnancy, according to a new study analyzing data from more than half a million ...