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·
    10 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·
        10 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?)