Use of artificial intelligence for image analysis in breast cancer screening

Re:Use of artificial intelligence for image analysis in brea... by xvilka on Thursday September 02, 2021 @08:23PM (#28399077)

> AI has occasionally (rarely?) shown great success in solving problems without needing domain experts. See AlphaGo.

Games are always orders of magnitudes easier then analyzing reality. They are highly constrained to the narrow domain and space of possibilities. Reality doesn't. There is work on understanding physical laws by the AI but it's very long path and they are much less successful than their artificial reality colleagues.

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Re:Use of artificial intelligence for image analysis in brea... by sdenton4 on Thursday September 02, 2021 @09:35PM (#28399529)

In just a few decades we've gone from 'chess is ai complete' to 'go is ai complete?' to 'games are too easy to be meaningful.'

In game domains we have the ability to generate infinite meaningful training data and have easily measured outcomes. Waymo is generating near infinite data for driving, and doing quite well with it. In medicine, we have piddly ass datasets because of privacy concerns. 'Reality is hard' had nothing to do with it.

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Re:Use of artificial intelligence for image analysis in brea... by danielmarkbruce on Friday September 03, 2021 @12:03AM (#28400305)

Reality is hard is still a thing. Google has the ability to spends billions (or 10's) on something like Waymo and they still have to spend billions (or 10's) more to properly commercialize it.

This isn't going to be a commonly done thing.

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