The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Machine learning algorithms identified patients with cancer who were at risk for short-term mortality and could benefit from immediate discussions about end-of-life preferences, according to results ...

A gradient boosting machine model performed best among five machine learning models tested for predicting delirium, according to findings recently published in JAMA Network Open. “Existing clinical ...

Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records Data collected in the multicentric PRAIS ...