Hello, and welcome back to The AI Shift, our newsletter about AI and the world of work.
This week we ask: why are there still so many radiologists? Back in 2016, Geoffrey Hinton, often described as the “godfather of AI”, said they were already on borrowed time. “I think if you work as a radiologist, you’re like the coyote that’s already over the edge of the cliff but hasn’t yet looked down,” he told his audience. “People should stop training radiologists now. It’s just completely obvious that within five years deep learning is going to do better than radiologists . . . It might be ten years, but we’ve got plenty of radiologists already.”
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