Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Owkin, the AI company on a mission to solve the complexity of biology, today announced the launch of its agentic ...

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world's decision-making is ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

The chief medical officer is interested in an easier path to market for health screening features in wearable devices.

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...