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> Geoffrey Miller was one of the loudest voices decrying the decline of radiology 5 years, and now he’s crying fear for new AI systems. I don't know who Geoffr

> Geoffrey Miller was one of the loudest voices decrying the decline of radiology 5 years, and now he’s crying fear for new AI systems. I don't know who Geoffrey Miller I'm pretty sure if there's a Geoffrey who notably predicted the decline of radiology, it was Geoffrey Hinton a few years ago...

xpe 3y ago
I did a few minutes of research. I did not find any such person. So I'm inclined to agree; the author may have meant Geoffrey Hinton. See also: https://statmodeling.stat.columbia.edu/2021/06/07/ai-promised-to-revolutionize-radiology-but-so-far-its-failing/ https://statmodeling.stat.columbia.edu/2021/06/07/ai-promise... > Gary Smith points us to [this news article][1]: > Geoffrey Hinton is a legendary computer scientist . . . Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the first AI algorithm for medical imaging that year and there are now more than 80 approved algorithms in the US and a similar number in Europe. [1] https://qz.com/2016153/ai-promised-to-revolutionize-radiology-but-so-far-its-failing https://qz.com/2016153/ai-promised-to-revolutionize-radiolog... > Geoffrey Hinton is a legendary computer scientist. When Hinton, Yann LeCun, and Yoshua Bengio were given the 2018 Turing Award, considered the Nobel prize of computing, they were described as the “Godfathers of artificial intelligence” and the “Godfathers of Deep Learning.” Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the first AI algorithm for medical imaging that year and there are now more than 80 approved algorithms in the US and a similar number in Europe. > Yet, the number of radiologists working in the US has gone up, not down, increasing by about 7% between 2015 and 2019. Indeed, there is now a shortage of radiologists that is predicted to increase over the next decade.
dang 3y ago
Looks like the OP has fixed that now.

xpe 3y ago

I did a few minutes of research. I did not find any such person. So I'm inclined to agree; the author may have meant Geoffrey Hinton. See also: https://statmodeling.stat.columbia.edu/2021/06/07/ai-promised-to-revolutionize-radiology-but-so-far-its-failing/ https://statmodeling.stat.columbia.edu/2021/06/07/ai-promise... > Gary Smith points us to [this news article][1]: > Geoffrey Hinton is a legendary computer scientist . . . Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the first AI algorithm for medical imaging that year and there are now more than 80 approved algorithms in the US and a similar number in Europe. [1] https://qz.com/2016153/ai-promised-to-revolutionize-radiology-but-so-far-its-failing https://qz.com/2016153/ai-promised-to-revolutionize-radiolog... > Geoffrey Hinton is a legendary computer scientist. When Hinton, Yann LeCun, and Yoshua Bengio were given the 2018 Turing Award, considered the Nobel prize of computing, they were described as the “Godfathers of artificial intelligence” and the “Godfathers of Deep Learning.” Naturally, people paid attention when Hinton declared in 2016, “We should stop training radiologists now, it’s just completely obvious within five years deep learning is going to do better than radiologists.” The US Food and Drug Administration (FDA) approved the first AI algorithm for medical imaging that year and there are now more than 80 approved algorithms in the US and a similar number in Europe. > Yet, the number of radiologists working in the US has gone up, not down, increasing by about 7% between 2015 and 2019. Indeed, there is now a shortage of radiologists that is predicted to increase over the next decade.

dang 3y ago

Looks like the OP has fixed that now.