this post was submitted on 02 Aug 2024
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Science Memes

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[–] bluefishcanteen@sh.itjust.works 0 points 1 month ago (2 children)

This is a great use of tech. With that said I find that the lines are blurred between "AI" and Machine Learning.

Real Question: Other than the specific tuning of the recognition model, how is this really different from something like Facebook automatically tagging images of you and your friends? Instead of saying "Here's a picture of Billy (maybe) " it's saying, "Here's a picture of some precancerous masses (maybe)".

That tech has been around for a while (at least 15 years). I remember Picasa doing something similar as a desktop program on Windows.

[–] AdrianTheFrog@lemmy.world 1 points 1 month ago (1 children)

I've been looking at the paper, some things about it:

  • the paper and article are from 2021
  • the model needs to be able to use optional data from age, family history, etc, but not be reliant on it
  • it needs to combine information from multiple views
  • it predicts risk for each year in the next 5 years
  • it has to produce consistent results with different sensors and diverse patients
  • its not the first model to do this, and it is more accurate than previous methods
[–] Zwiebel@feddit.org 1 points 1 month ago
[–] pete_the_cat@lemmy.world 1 points 1 month ago

It's because AI is the new buzzword that has replaced "machine learning" and "large language models", it sounds a lot more sexy and futuristic.