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.
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.
USA: A post hoc study revealed that concurrent supplementation of oral probiotic Lactobacillus plantarum and intranasal oxytocin may improve autonomic function indices in patients with autism spectral.
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