You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Honestly, the question is not, and has never been, "can machine learning replace radiologists/etc" (which won't happen in the foreseeable future). The question is, how can radiology/etc utilize ML to improve outcomes, decrease the cost of care, and broaden accessibility.
ML represents a powerful set of machine perception affordances that until recently didn't exist. Utilize them. Much like computers in the 80s & 90s, it's not there to replace you, it's there to help you do your job better and at an increased scale.
Isn't this assuming they want to?
What do you consider “foreseeable future”?
The effects are a priori ambiguous. The r/economics FAQ on automation goes over the specific example of radiologists: https://www.reddit.com/r/Economics/wiki/faq_automation … Disclaimer: I wrote the FAQ.
That's been the sales pitch, now that it's falling apart..
As long as doctors are in the loop, I don't see cost of care is coming down! In fact, I suspect it goes up because now they are using more technology to reduce the error! There is basically no reason for a radiologist to make a few ~300K to ~1M!
@fchollet - thank you for the insightful comment. To add: a physician’s responsibility is to care for the patient. Technologies - CT, MRI, ML - are mechanisms to accomplish this goal. No technology will replace those who take on the burden and the joy of caring for others.
+1. this is a big theme i have with a lot of client conversations; augment over automate.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
