I don’t think so, not beyond the current trend in medicine which is going up anyway.

For some things, like 3D volume segmentation of structure or disease (e.g. CVA/stroke volume, cardiac muscle mass, iron quantification) the bottleneck is the time it takes so we currently use approximations like single longest dimension, circular regions of interest, etc. AI will dramatically increase accuracy allowing for more accurate treatment and easier large scale research with quantitative endpoints.

Other things people think of like detection of aneurysms, fracture, lung nodules are not “hard” but AI has already added and will continue to add the second-reader benefit which will reduce detection errors. For this category the clinical benefit is as of yet unclear and we know that increased detection does not necessarily translate into improved patient outcomes and can in fact make them worse from over-diagnosis which means investigation related harms and over-treatment.

We were already in a phase of “over detection” in much of radiology with advances in imaging technology so the incremental benefit of current AI remains to be seen and I personally think is going to be much more limited. I had a case recently where a 2 mm brain aneurysm was missed on 3 CT scans over 10 years but was picked up by AI so now is being followed annually. This is too small to treat considering the risks and a serious argument could be made that 10 years of stability is proof enough that this is almost certainly clinically irrelevant for this patient.

Far more interesting areas of AI in imaging are in acquisition of acceleration (i.e. the medical equivalent of upscaling) which can dramatically decrease costs and increase accessibility as well as analyzing imperceptible features.

It may not be a popular take here but in my opinion the future of radiology is like what we see in software engineering today - a skilled human equipped with AI will outperform humans without AI and AI without humans, the latter of which we are still several years away from prototyping due to various technical hurdles.

> Starlink has made connectivity cheaper and more available.

Yeah that's working out great for the average American isn't it (https://natlawreview.com/press-releases/2026-consumer-trust-...)

> Earth imaging has made various food production processes more efficient.

I'm not even going to bother sourcing the fact that food prices have only massively gone up negating any gains in productivity. The average American struggling to buy basics like eggs and meat aren't feasting on more efficient food production.

> Weather forecasts have become more accurate.

I'm sure the growing homeless population is happy to know they can better predict the weather they'll be sleeping in.

This is all totally worth supporting a nazi billionaire

> Reusing rockets reliably rather than "throwing them away" is a great achievement and I'm surprised people have to justify it on HN

You can milk a cow only a set number of times!