Summary:
- The article discusses the importance of "future-proofing" AI in healthcare by prioritizing investments in evidence infrastructure and equity.
- It highlights the need to build a robust evidence base to ensure AI systems are safe, effective, and equitable in healthcare applications.
- The article emphasizes the importance of addressing potential biases and ensuring AI technologies are accessible and beneficial to all patient populations, not just those represented in the data used to train the systems.