5 ms·
Some people wonder why the use of ‘AI’ in pathology is not more effective, and this is part of the reason.
by cosignal 2y ago
Some people wonder why the use of ‘AI’ in pathology is not more effective, and this is part of the reason.
- eagerpace 2y agoIt seems like exactly the kind of thing AI will be better at than humans. If just needs to be trained on the variations instead of the textbook.
- bitnasty 2y agoMy thought is the exact opposite. AI can handle predictable situations fine, but the 20% of situations which are unpredictable require a general intelligence that can understand context that current AI technology (or possibly any AI technology) just doesn’t possess. There will always be situations that training doesn’t cover.
- loa_in_ 2y agoThe other side is that AI can learn every last bit of information from all CT scans, operating room video recordings (and more) in the world with no rest or sleep, and with 100% diligence
- deleted 2y ago[deleted]
- mejutoco 2y agoSounds similar to symbolic reasoning (for example algebra) vs finding the most likely completion.
- rowanG077 2y agoHmm that is the opposite what I would have expected. Because there is so much variation an AI that has trained on an insane breadth of data should easily be able to outcompete a human on specialized tasks.
- lanstin 2y agoUnless that training on exceptions isn't quite enough to convey the principles needed to reason about the domain. I am sure for some problems it will amaze and for some it will not.