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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. ....

United States , South Korea , Soult Ukpyolsi , United States Us Centers For Disease , Yonsei University College Of Medicine , Deep Ensembles , Symptom Severity Using Retinal , Image Credit , Disease Control , Modified Checklist , Diagnostic Accuracy Studies , Yonsei University College , Autism Diagnostic Observation Schedule , Second Edition , Social Responsiveness Scale , Statistical Manual , Mental Disorders , Fifth Edition , Heat Map With , Progressive Erasing Technique , Based Symptom Severity , Developmental Disorder ,

Using AI to diagnose autism in children

Using AI to diagnose autism in children
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Jae Han Kim , Sciencex Network , Autism Diagnostic Observation Schedule , Deep Ensembles , Symptom Severity Using Retinal Photographs ,