Ready or not, health care is undergoing a massive transformation driven by artificial intelligence. But medical schools have barely started to teach about AI and machine learning — creating knowledge gaps that could compound the damage caused by flawed algorithms and biased decision-support systems.
“We’re going to be at a point where we’re not going to be able to catch up and be able to call out the technology defects or flaws,” said Erkin Ötleş, a machine learning researcher working toward his medical degree and Ph.D. at the University of Michigan. “Without being armed with that set of foundational knowledge into how these things work, we’re going to be at a disadvantage.”
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