I think the problem with this is that the AI is being used on metrics and images and tests that have meaning to humans. But if we started to take diagnostics that had higher dimensions and resolution, and just trained blackbox AI on that data, it probably stands to reason that it could do a better job. Especially with a tight feedback loop that would identify interesting regions and rescan them instantly, instead of having to bring patients back into the room at a later date.
It's the same problem I have with self-driving cars. We are teaching cars to behave around (and like) humans, instead of just fencing off the highways and inventing an autonomous system of vehicles that doesn't have this much tougher constraint. I think AI can do a lot of good things today, if the people trying to apply it looked to completely redesign existing systems around AI, instead of trying to replace the humans operating the existing systems. The latter is much more difficult.
It's the same problem I have with self-driving cars. We are teaching cars to behave around (and like) humans, instead of just fencing off the highways and inventing an autonomous system of vehicles that doesn't have this much tougher constraint. I think AI can do a lot of good things today, if the people trying to apply it looked to completely redesign existing systems around AI, instead of trying to replace the humans operating the existing systems. The latter is much more difficult.