A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

How predictions would impact clinical decision-making is another question, expert says ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...