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

  • Lmaydev@programming.dev
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    8 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.