AI triage tools are designed to identify high-risk patients and communities faster.
They promise smarter prioritization, earlier intervention, and more efficient care delivery.

But what if the model is not the real bottleneck at all?

In this episode, we break down why AI triage tools often fail in real-world public health settings, how system constraints can cancel out model performance, and why prediction only matters when the response system can actually act.

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