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

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...

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

Lower-performing countries follow a different pattern. Gains in basic infrastructure, water access, or food availability can raise SDG scores even when education systems, innovation capacity, or ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

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

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

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...