Non-Caucasian patients with breast cancer face common influences in surgical decision-making due to fear, misinformation, cultural factors, and power dynamics, highlighting the need for ...

For AI-assisted governance to succeed, it must adhere to principles of diversity, decentralization, and accountability. They ...

Life sciences organizations have an opportunity to move beyond patient-centered care and embrace a model that values lived ...

In an era where artificial intelligence and digital technologies are reshaping every aspect of our lives, education stands at a pivotal crossroads. With increasing access to data and powerful analytic ...

Explainable AI (XAI) is essential for gaining executive trust in data-driven recommendations. Many high-performing AI models operate as black boxes, making their predictions difficult to interpret.

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

Fundamentally, how does anyone know us as individual leaders and/or judge our leadership effectiveness? The first thing that might come to mind is your personality. Secondly, how you communicate: how ...

When a child is critically ill, families often face one of the most heartbreaking questions imaginable: how should a medical team intervene when a patient's heart stops beating or they are unable to ...

In today’s fluid educational landscape, school leaders and educators are confronted with increasingly complex challenges. The infusion of data analytics and the rise of generative artificial ...