The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

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 ...

Abstract: As we are now experiencing the advance of smart factories as a phenomenon of the Industry 4.0 paradigm, predictive maintenance takes the place of critical importance in optimizing the ...

Gina Mastantuono, president and CFO, ServiceNow: “In 2026, AI will be judged less on promise and more on proof. Enterprises ...

Using the Data Drive platform, traffic patterns before and during the event were assessed to identify congestion points and ...

Explore how prioritizing analytics in management education enhances leadership effectiveness in today's data-driven business ...

Despite record investment, patients around the world face outdated systems, long waits and uneven outcomes. A digital overhaul promises smarter, more connected care ...

Healthcare is evolving from one-size-fits-all to personalised, data-driven care. How does this improve patient outcomes, reduce costs and empower individuals?

Background The growing population of patients with adult congenital heart disease (ACHD) present complex lifelong care needs ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

Troy Mahr, Director, Rockwell Automation, explains how achieving autonomous operations requires integrating industrial data and AI to eliminate silos ...

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