Rethinking autism diagnosis with AI and clinical expertise
15 Articles
15 Articles
Repetitive behaviors and special interests are more indicative of an autism diagnosis than a lack of social skills
People with autism are typically diagnosed by clinical observation and assessment. To deconstruct the clinical decision process, which is often subjective and difficult to describe, researchers used a large language model (LLM) to synthesize the behaviors and observations that are most indicative of an autism diagnosis. Their results show that repetitive behaviors, special interests, and perception-based behaviors are most associated with an aut…
Rethinking autism diagnosis with AI and clinical expertise
In diagnosing autism – the developmental variant that affects around 80 million people worldwide – medical practitioners today put too much emphasis on a child's lack of sociability and not enough on their interests and how they naturally behave spontaneously with objects.
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