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. 

According to new data, the simulated virtual environment may be just as effective of a setting as the classroom for problem-based learning. 

The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

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 American Medical Association passed a resolution at its recent annual meeting seeking to “maximize trust” around how these models reach conclusions. 
 

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.