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·
    11 months 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·
      11 months 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·
          11 months 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?)