A U.S. research team has developed the first-ever artificial intelligence (AI) model capable of predicting over 100 health ...

Could our nightly sleep provide hidden clues to serious illnesses–years before symptoms appear? And could artificial ...

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The ...

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

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

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

A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

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 ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...