AI in Health Care–National Academy of Medicine’s Perspective

Here is the full report

Here are some highlights:

1. Promoting population-representative data with accessibility, standardization, and quality is imperative
2. Prioritize ethical, equitable, and inclusive health care AI while addressing explicit and implicit bias
3. Contextualizing the dialogue of transparency and trust requires accepting differential needs.
4. Near-term focus is needed on augmented intelligence vs AI autonomous agents
5. Develop and deploy appropriate training and educational programs to support health care AI.
6. Leverage frameworks and best practices for learning health care systems, human factors, and implementation science to address the challenges in operationalizing health care AI
7. Balance innovation with safety via regulation and legislation to promote trust.