• bluefishcanteen@sh.itjust.worksEnglish
    0·
    2 months ago

    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.

    • pete_the_cat@lemmy.worldEnglish
      1·
      2 months 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.

    • AdrianTheFrog@lemmy.worldEnglish
      1·
      2 months ago

      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