Emerging Autism Diagnostic Tools: What Families Should Know

 

New technologies are expanding how autism can be identified, offering earlier and more accessible screening options. These tools support, but do not replace, traditional diagnostic methods. 

Here are some promising developments. 

AI-Powered Gait Analysis 
Using video and machine learning, researchers can analyse walking patterns and identify early motor signs linked to autism with around 80 percent accuracy. 

Eye Tracking Tools 
Tests that measure visual attention, such as geometric preference tasks, show accuracy rates up to 96 percent in research using deep learning. 

Hand Motor Grip Tests 
A quick block grasp task analysed by AI shows around 85 percent accuracy in early studies. 

Why These Tools Matter 
They support earlier detection and may help improve access in communities with limited specialist resources. 

For expert-administered assessments, families can seek support through Autism Detect. Some individuals also experience overlapping traits with ADHD, which can be explored through ADHD Certify. 

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