Re:Why are deep learning technologists so overconfident?
by Wojtkie on Wednesday August 31, 2022 @05:36PM
(#32668676)
To be fair, Radiologic Technologists are different than a Radiologist. The former is a certification requiring a 2 year degree, the latter requires a Doctorate of Medicine which takes an additional 4 years at least on top of 4 years of undergrad. Then you need 4 years of residency and an additional sub-speciality year on top of that to be a Radiologist.
So, very different.
Re:Why are deep learning technologists so overconfident?
by trention on Thursday September 01, 2022 @02:24AM
(#32672695)
The latter is a subset of the former in BLS statistics and I am using the larger category only because BLS apparently only started counting Radiologists as a separate subcategory in 2019.
Re:Why are deep learning technologists so overconfident?
by robertlagrant on Wednesday August 31, 2022 @06:25PM
(#32669139)
Yes. Techs and doctors are different!
Re:Why are deep learning technologists so overconfident?
by cma on Thursday September 01, 2022 @02:06PM
(#32680534)
Two points (your conclusion that AI hasn't had much effect yet may still be right):
Population growth isn't everything. The uninsured rate dropped from 12% to around 8% in that time period. Not many uninsured people get radiologist services unless it is an emergency.
And cheaper AI-assisted Radiologists could increase the overall employment of Radiologic Technologists.
Employed Radiologic Technologists in the US:
2014 - 193,400
2021 - 216,380
The growth is larger than the overall population growth in the same period. And that is in a very outsourceable occupation.