Perhaps a monthly session to practice their skills would be useful? So they don’t atrophe…
Perhaps a monthly session to practice their skills would be useful? So they don’t atrophe…
Instead, I would hope that we can engineer around the downtime. Diagnosis is not as time-critical as other medical procedures, so if a system is down temporarily they can probably wait a short amount of time. And if a system is down for longer than that, then patients could be sent to another hospital.
That said, there might be other benefits to keeping doctors' skills up. For example, I think glitches in the diagnosis system could be picked up by doctors if they are double-checking the results. But if they are relying on the AI system exclusively, then unusual cases or glitches could result in bad diagnoses that could otherwise have been avoided.
The x ray machine would still work, it’s connected directly to a PC. A doctor can look at the image on the computer without asking some fancy cloud AI.
A power outage on the other hand is a true worst case scenario but that’s different.
Like one of the biggest complaints I've heard around hospital IT systems is how brittle they are because there are a million different vendors tied to each component. Every new system we add makes it more brittle.
This is not new, lots of mission critical software systems are run like this.
I think we have to treat the algorithm as a medical tool here, whose maintenance will be prioritised as such. So your premise is similar to "If all the scalpels break...".
The premise is absolutely not the same.
Then we could just go Google it, and/or skim the Wikipedia page. If you wanted more details you could follow references - which just made it easier to do the first point.
Now skills themselves will be subject to the same generalizing phenomenon as finding information.
We have not seen information-finding become better as technology has advanced. More people are able to become barely-capable regarding many topic, and this has caused a lot of fragmentation, and a general lowering of general knowledge with regard to information.
The overall degradation that happened with politics and public information will now be generalized to anything that AI can be applied to.
You race your MG? Hey my exoskeleton has a circuit racer blob we should go this weekend. You like to paint? I got this Bougereau app I'll paint some stuff for you. You're a physicist? The font for chalk writing just released so maybe we can work on the grand unified theory sometime, you say you part and I can query the LLM and correct your mistakes
Except at this point, market forces and going whole hog on neural networking and such instead of sticking with just reflective, impartial indexing of the digital medium has made it nigh impossible for technological aid to actually improve your ability to find niche things. Search Engine Optimization, plus the interests in shaping narratives, have made searchability take a plunge. Right now the unpolluted index may as well be a WMD for how hard it is to find/keep operating one.