AI has the potential to transform healthcare, but adoption remains slow. Outdated IT infrastructure, strict data policies, high implementation costs, and concerns around bias and model performance all stand in the way. Scaling AI in hospitals requires more than just promising tools - it demands infrastructure that supports ongoing governance, transparency, and real-world impact.
