FAIR Data in Healthcare: Insights from Pietro Pinoli, POLIMI
Associate Professor at Politecnico di Milano, Pietro Pinoli, explains one of the most crucial foundations of AI in healthcare: FAIRification. Why does FAIR data matter? Because AI can only be as good as the data it learns from — and in healthcare, that data must remain private, secure, and interoperable.
In this interview, Prof. Pinoli breaks down:
- what FAIR principles (Findable, Accessible, Interoperable, Reusable) mean,
- why medical data is so difficult to harmonize across hospitals,
- how FAIRification enables federated learning, and
- how these methods unlock the potential of AI while keeping patient data protected.