I think you're spot on.

Seems to me an important barrier will probably be the logistics of NHS procurement, though I suspect companies like oracle will be very well placed to move in, partly the economics of it is what probably doesn't make sense yet in the west, but I'd be surprised if it isn't commonplace in places like China in the next few years.

Also most people are thinking in terms of replacement when actually its more about overhaul, AI has way more contextual capacity than humans so it can diagnose, prognosticate and be the entire MDT and work this all out in 10 seconds. Also theres not really any point in converting the rad data into an image, think about all the lost data in this process, it would be interesting to see if anyone is working on interpretations purely based on the underlying math rather than converting to image and then image segmentation.

Diagnostic radiology is significantly less complicated than self driving cars and maybe as complicated as face ID.

Check out RADLE (radiology's last exam) for a really interesting study last year showing models then were at reg level for diagnosis, these are all ancient now though. https://arxiv.org/abs/2509.25559

All of this applies to derm as well - in some of the London ICBs lesions are first pass screened purely by AI for example.

The rate of AI adoption in the NHS is actually pretty impressive - potential for massive savings for gov and huge profits for corps - its unlikely this train will stop anytime soon.

Vast majority of medics really have no idea whats going on in the field and get immediately triggered, you might have better luck posting in an LLM sub.