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 ...
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 ...
Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...
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 ...
Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...
AI driven network optimisation in telecom and automated claims processing in insurance became increasingly common ...
The intersection of artificial intelligence and neurology has produced significant advancements in disease detection and clinical workflow optimization.
Abdus Sobur receives a 2025 Global Recognition Award for developing artificial intelligence models that support earlier ...
A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly transforming how scientists image the Earth’s shallow and crustal structures.
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