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: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

The race to build artificial intelligence is not just a story about clever code or faster chips. It is a struggle over who ...

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

A CMS pilot program will require providers in six states to submit select Medicare services for AI-enabled prior authorization or post-service medical review.

With Autopilot Lending, AI can analyze digital behavior, spending patterns, financial intent, and demographic signals to ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

The journey towards autonomous operations involves incremental steps, each bringing businesses closer to a state where systems can independently manage and optimize processes, ensuring sustained ...

As city grids evolve with renewable resources and IoT integration, digital twins offer a scalable solution for proactive ...