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?
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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