AI-screened eye pics diagnose childhood autism with 100% accuracy::undefined

    • Lmaydev@programming.dev
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      7 months ago

      A convolutional neural network, a deep learning algorithm, was trained using 85% of the retinal images and symptom severity test scores to construct models to screen for ASD and ASD symptom severity. The remaining 15% of images were retained for testing.

      It correctly identified 100% of the testing images. So it’s accurate.

  • sndrtj@feddit.nl
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    7 months ago

    Sensitivity or specificity? Sensitivity is easy, just say every person is positive and you’ll find 100% of true positives. Specificity is the hard problem.

  • just_another_person@lemmy.world
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    7 months ago

    Bull.Shit.

    Define the criteria, have it peer reviewed and diagnosed, or else we will ALL be diagnosed with Autism soon enough.