Most health AI teams can demo a model. Far fewer can defend one. This paper explores what scientific validation actually requires – across technical, clinical, and operational dimensions – and why lifecycle governance is now the real competitive advantage.

If you are building or buying health AI, validation is the word everyone uses and almost nobody defines rigorously. That gap is no longer just an academic problem — it is a liability.