US is exactly the place where those techniques would make waves because of what the US is paying for radiology; in countries where radiologists don't have the same monopoly/monopsony powers it's not nearly as lucrative to replace them.
For example, I'm distantly involved in a project with non-US-radiologists about ML support for automating radiology note dictation (which is a much simpler and much "politically cleaner" issue than actual radiology automation), and IMHO they and their organization would be happy to integrate some image analyis ML tools in their workflow to automate part of their work. However, the current methods really aren't ready, and the local market isn't sufficiently large to make the jump and make a startup to make them ready, that would have to wait until further improvements, most likely done by someone trying to get the US radiologists' money.
For example, I'm distantly involved in a project with non-US-radiologists about ML support for automating radiology note dictation (which is a much simpler and much "politically cleaner" issue than actual radiology automation), and IMHO they and their organization would be happy to integrate some image analyis ML tools in their workflow to automate part of their work. However, the current methods really aren't ready, and the local market isn't sufficiently large to make the jump and make a startup to make them ready, that would have to wait until further improvements, most likely done by someone trying to get the US radiologists' money.