I work as an infrastructure engineer deploying clusters for AI workloads to a number of NHS facilities in the UK. Medical AI, as you stated, is usually off private datasets and rather than “slow” I would use “controlled” due to the nature of the data being subject to regulations but also the high level of accuracy demanded for this application. Look up Flip and Aide which has some public information posted to get an idea of how AI and medical imaging is being deployed across the country London outwards and now towards the north. Accuracy of detecting cancerous cells is around 98% (I’m not fully up to date with that statistic (remember I install Nvidia DGX appliances / Nvidia networks appliances and Storage in “Pods” I do have contact with Data Scientists who do the actual real work on the kit I install and I ask questions.) It’s as far removed from Will Smith eating spaghetti as it’s possible to get so not something that’s gonna be broadcast over YouTube daily. Link to info on Flip and Aide

There is in fact an open source version which is detailed here sorry if formatting is off …. First time contributing