In hospital settings, the success of AI adoption hinges on how well implementation leaders balance technological innovation in departmental silos with operational nimbleness across the enterprise. In a term, the latter refers to hospital logistics. 

Within healthcare, artificial intelligence and quality improvement have some things in common. 

The AI revolution in healthcare is less about technological advancement than change management vis-à-vis human relations. This may be nowhere more true than in critical care. 

Primary care providers are excited about the promise AI holds to help them help patients living with multiple chronic conditions. However, they believe these patients will continue to need the human connection they get from their PCPs. 

Have you ever wondered what China and Russia would talk about if they were to discuss AI in healthcare? It turns out they do just that—and a newly published academic paper straight out of the Russian Federation offers a glimpse into the dialogue.  

Research into the design and development of AI models for rural healthcare isn’t hard to come by. However, that’s about as far as most of the investigations go. 

A primary aim of medical humanities as a field today is teaching medical students how to harmonize technological innovations with care models such that patients are treated as whole persons: They have not just bodies but also minds, relationships—and lives. 

Patients who frequently use AI tend to readily trust AI-assisted diagnoses made by their physicians. Counterintuitively, however, those who would rank themselves among the very best-informed about AI tend to mistrust such diagnoses.