AI & ML · Aug 8
Nature’s Healthcare AI Lesson: Capacity Is Not Causality
A Nature Biomedical Engineering Perspective argues that clinical AI often breaks across institutions because it learns associations, not mechanisms.
- Audit clinical models for shortcut learning before assuming architecture or capacity is the main deployment problem.
- Use causal structure when robustness across institutions matters, especially under distribution shift and historical bias.
- Separate causally inspired models from causally validated discoveries when evaluating healthcare AI claims.