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. 

States’ rights or federal power? Senate Republicans are of two minds on AI regulation in the One Big Beautiful Bill. 

From the perspective of management science, healthcare is a complex adaptive system marked by intricate feedback loops and overlapping interdependencies. As such, the sector demands caution by those introducing large-language AI into its tangled webs. 

If an individual is at all susceptible to mental unwellness, overuse of a talkative LLM could push him or her over the edge. Maybe literally. 

Earlier this year, patients treated by an AI chatbot for some common mental health challenges got better. This was significant because the patients were part of the first randomized and controlled trial for this type of AI intervention. 

The Joint Commission is partnering with the Coalition for Health AI to scale AI accountability. The project will supply more than 80% of U.S. provider orgs with gameplans, toolkits and overall guidance. 

To maximize returns on AI investments, healthcare organizations should align AI initiatives with core competencies. The effort should focus on optimizing experiences for workforces as well as patients. 

On the technical and ethical planes, the National Academy of Medicine’s fresh guidance may represent the best way yet to ensure alignment of healthcare AI stakeholders.