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1 sat \ 2 replies \ @monk_cactus 10 Jan 2023 \ parent \ on: Jeff Booth bitcoin
My 2 cents - and I may not be as knowledgeable as Jeff Booth, but I have worked in neuroimaging and now work with AI.
AI has been hyped as replacing radiologists for decades now, but so far it hasn't materialized. More than likely, they'll be a transition period where your expertise is leveraged in conjunction with an AI. I think it's unlikely that you will be replaced completely in the next decade.
Glad you responded. I am well aware of the AI scare in radiology, and I used to think AI would make our jobs more complex and lesion reporting more accurate. Less time wasted on analysis of chest X-rays and more time analysing brain MRI scans, you know?
Do you recommend picking up any additional computer skills?
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Not necessarily, as I'm assuming you want to practice medicine in your career, not become an AI engineer. Anyone of the free machine learning/AI courses couldn't hurt just to remove some of the mystery around how things are developed. This is one example, but there are a ton of these: https://www.coursera.org/learn/practical-machine-learning
If you're trying to better understand AI and it's application to radiology, trying to understand the math and rationale behind the models is probably a better place to start. That way as it becomes a part of your field, you'll have a command of the concepts, and will also be able to spot the pitfalls (still lots of hype and overselling). It'll also smooth the transition if/when it becomes part of your work.
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