Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

Hospitals and health systems are rapidly adopting artificial intelligence (AI) to improve efficiency, support diagnosis, and manage growing data volumes. However, the shift from experimental tools to ...

The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...

As AI adoption accelerates faster than regulation, Alexander Schlager of Aiceberg.ai argues that transparent, explainable AI ...

We have built financial systems that exceed human comprehension, then dressed them in the language of transparency. The reckoning will not be kind.

Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...

Explainability is widely promoted as the solution to trust and safety concerns in medical artificial intelligence, but a new academic review finds that this assumption does not hold across healthcare ...

As models aspire to reach AGI-level complexity, the industry is realizing the need to sharpen comprehension - we cannot control what we cannot see. The focus is shifting from simply scaling parameters ...

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

The financial services industry is undergoing an AI-driven transformation that extends well beyond the generative-AI headlines. Chatbots may capture attention, but a far quieter and more consequential ...

Hemorrhagic transformation (HT) is a major complication following ischemic stroke, especially in patients treated with reperfusion therapies. Accurate prediction of HT is essential to optimize ...

AI now touches high-stakes decisions, credit, hiring, and healthcare, yet many systems remain black boxes. Governance is lagging adoption: Recent enterprise research finds 93 percent of organizations ...