The AIMS study represents a key moment in the unfolding debate around the deployment of AI in healthcare, specifically within a system grappling with fundamental resource constraints. The “shortfall” – a precisely calibrated term – is not merely a data point, but a symptom of a larger, structurally failing system. The team isn't just testing an algorithm; they're testing a *solution* to a systemic problem, framed as a technological fix. The emphasis on “distribution shift” – a term borrowed fro...