Artificial intelligence is increasingly integrated into future communication networks, yet many AI models operate as opaque black boxes, raising concerns ...
SALT LAKE CITY, UTAH – Researchers at the University of Utah's Department of Psychiatry and Huntsman Mental Health Institute today published a paper introducing RiskPath, an open source software ...
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...
Nevari earns a 2026 Global Recognition Award for its AI-first advisory model that keeps senior experts close to client work, ...
Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...
Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...
A recent study highlights that AI models can transform how we analyze and apply health data across entire populations.
Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...
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