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AI models using retinal images achieve perfect accuracy in diagnosing autism

Study demonstrates that deep ensemble models (DEMs) using high-resolution retinal images can accurately diagnose autism spectrum disorder (ASD) in children, achieving an AUROC of 1.00 for ASD detection and 0.74 for estimating ASD severity, offering a promising approach for computer-aided ASD diagnosis. ....

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AI autism detector claims 100% accuracy | Inquirer Technology

AI autism detector claims 100% accuracy | Inquirer Technology
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Pearse Keane , Yonsei University College Of Medicine , Department Of Child , Severance Hospital , Adolescent Psychiatry , Yonsei University College , Interesting Engineering , British Journal , Kingdom Biobank , European Prospective Investigation ,

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

Researchers have used AI to screen photographs of children’s retinas to diagnose autism with 100% accuracy. The findings suggest AI is a viable screening tool for early diagnosis, especially when access to a specialist child psychiatrist is limited. ....

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A Hidden Pattern in Children's Eyes Can Reveal if They Have Autism

Deep learning AI models could be used to screen for autism and check on the severity of the condition, according to new research – and all the AI might need is a photo of the subject's retina. ....

South Korea , Republic Of Korea , Yonsei University College Of Medicine , Autism Spectrum Disorder , Yonsei University College , Attention Deficit Hyperactivity Disorder ,

Spinraza helps most type 1 SMA kids on ventilation in Korean study

Spinraza helps most type 1 SMA kids on ventilation in Korean study
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