Researchers have found a way to make artificial intelligence models that are currently too big and expensive to use in healthcare settings, work just as well in a much smaller and more efficient form. By "teaching" these models to mimic the behavior of the original, larger models, they were able to retain at least 90% of their accuracy, and even outperform the original models in some cases. This breakthrough could make it possible to use AI in healthcare settings where processing power and resources are limited, without sacrificing accuracy or fairness.