Machine learning is quietly rewriting the rules of the cosmic hunt for company. Instead of waiting to recognize familiar ...

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

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

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

A University of Wyoming alumnus and a UW professor of statistics have published a study proposing the use of spatially ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Forty-eight percent of workers struggle to find files, 45 percent of SMBs still use paper, and e-signatures can boost close ...

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 ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

The Maternal Care Bundle (MCB) sets best practice standards across 5 areas of clinical care, for implementation by NHS providers and commissioners across England. The aim is to reduce maternal ...