Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

AI in 2025 shifted from hype to economics, defined by compute, energy, infrastructure limits, enterprise adoption, and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

Marjorie Taylor Greene's pension details explained as critics pounce ‘Everybody Loves Raymond’ cast reunites for 30th anniversary special: The stars then and now Volcano erupts for first time in ...

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...