Researchers have taken photographs of children’s retinas and screened them using a deep learning AI algorithm to diagnose autism with 100% accuracy. The findings support using AI as an objective screening tool for early diagnosis, especially when access to a specialist child psychiatrist is limited.
  • sosodev@lemmy.worldEnglish
    56·
    1 year ago

    It sounds like the model is overfitting the training data. They say it scored 100% on the testing set of data which almost always indicates that the model has learned how to ace the training set but flops in the real world.

    I think we shouldn’t put much weight behind this news article. This is just more overblown hype for the sake of clicks.

    • LostXOR@kbin.social
      8·
      1 year ago

      The article says they kept 15% of the data for testing, so it’s not overfitting. I’m still skeptical though.

        • feedmecontent@lemmy.worldEnglish
          1·
          1 year ago

          Number of parameters required to overfit increases as the amount of data increases. Overfitting basically turns the overfit model into an encoding of the data (and I think has been applied in this way?)