#62 - What Is Drift? (And Why We Need To Keep A Close Eye)

Code & Cure · Sep 17, 2026 · 25m · transcript

Your clinical AI model passed validation. Everyone celebrates. Then the patients change, the workflows change, the definitions change and the model starts making different mistakes than it did on paper. That gap is drift, and it might be the most unglamorous, most important part of AI safety in healthcare.

We break drift down in a practical way: covariate drift (the inputs shift), outcome drift (what you’re predicting shifts), and concept drift (the relationship between inputs and outcomes shifts). Along the way, we dig into concrete clinical examples, like a speech-based Alzheimer’s…