To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

The adoption of machine learning approaches in systematic reviews is fundamentally transforming evidence-based medicine. Traditionally, systematic reviews have involved painstaking manual screening of ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

A lab at the University of Idaho will use a Department of Defense grant to develop machine learning models that might be able ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...

Metabolite data and AI combine to redefine how we measure aging and predict health spans. Study: Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning ...