From AI-generated images to restricted satellite data, the systems used to verify what’s real online are struggling to keep ...

Spread the loveIn a significant advancement for the cybersecurity sector, a consortium of leading cybersecurity firms has unveiled a groundbreaking artificial intelligence (AI) solution designed to ...

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...

Cedars-Sinai Health Sciences University investigators and colleagues created an algorithm designed to use data on sudden ...

A Navy seafloor scanning operation has reportedly helped researchers zero in on a shipwreck believed to be roughly 500 years ...

Real-world evidence to be presented at the American College of Cardiology Scientific Session 2026 highlights impact of Viz HCM, developed as part of a multi-year agreement with Bristol Myers Squibb, ...

Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...

Background: Wearable devices can capture 1-lead ECGs but are primarily used for detecting rhythm disorders. AI deployed on these ECGs could enable scalable detection of structural heart diseases (SHDs ...