This structured and continuously updated data landscape makes medicine fertile ground for pattern recognition, which is the ...

The rise of generative AI and intelligent knowledge systems is eroding the dominance of static precedent-building.

DeNovix discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and ...

After two failed appeals and endless phone calls with her doctor and insurer, Reisen learned about Counterforce Health, a company that uses AI to help patients craft informed appeal letters to fight ...

Sepsis the body’s extreme, life-threatening response to infection and the leading cause of death in U.S. hospitals.

Introduction: This study aimed to evaluate the validity of algorithms based on electronic health data in identifying cases of acute heart failure and acute exacerbation of chronic heart failure at ...

A NEW analytical framework called multidimensional informed generalized hypothesis testing (MIGHT) is redefining how uncertainty is quantified in AI-driven medical decisions. By accurately measuring ...

In ‘Digital Twins for Trans People in Healthcare: Queer, Phenomenological and Bioethical Considerations’,1 we examine the use of digital twin (DT) technology for transgender individuals. Our central ...

Source: Getty Images A clinician pondered the downstream consequences of trusting a statistical AI model over longitudinal clinical experience and judgment. Artificial intelligence (AI) is rapidly ...

The modern inbox is a battlefield—where your beautifully crafted email might lose not to a better competitor, but to an algorithm that never even let it be seen. While marketers obsess over visuals, ...

(The Conversation) – Over the past decade, health insurance companies have increasingly embraced the use of artificial intelligence algorithms. Unlike doctors and hospitals, which use AI to help ...