This new AI diagnostic tool demonstrates predictive capabilities for identifying autism risk in toddlers under 24 months, achieving nearly 80% accuracy, as noted in the recent study.
The research conducted at Karolinska Institutet reveals that effective early diagnosis of autism can significantly improve intervention outcomes, allowing for better long-term development for affected children.
Despite specialists being able to diagnose autism reliably by age two, significant delays exist, particularly in lower income households, emphasizing the need for tools that facilitate earlier diagnosis.
With the U.S. prevalence of autism reported as 1 in 36 children, it becomes crucial to leverage advanced technologies like AI to ensure timely interventions and support for families.
#artificial-intelligence #autism-spectrum-disorder #early-diagnosis #child-development #healthcare-innovation
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