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

For safety-critical and highly regulated situations such as advanced driver assistance systems (ADAS) and automated driving ...

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

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 ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily ...

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 ...

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

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

The authors argue that generative AI introduces a new class of alignment risks because interaction itself becomes a mechanism of influence. Humans adapt their behavior in response to AI outputs, ...