To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

The AI-powered prior auth requirements under the CMS' Wasteful and Inappropriate Service Reduction model would increase ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

Artificial intelligence has become the defining frontier of modern finance. From generative models that accelerate document ...

Please provide your email address to receive an email when new articles are posted on . The model predicted a 12.6% average risk for recurrent disease activity among DMT discontinuers. The model’s AUC ...

Simple information already gathered during routine well-baby visits could help clinicians spot which infants are at risk for persistent developmental delays, without the need for complex testing.

Researcher Venkata Sri Manoj Bonam advances AI-based fraud detection systems that blend machine learning accuracy with ...

The authors argue that trustworthiness in AI cannot exist without strong human oversight. Even the most advanced ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...