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.
  • 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?)