"Using [the] AI model, it can be possible to use available information and earlier identify individuals with elevated likelihood for autism so that they can get earlier diagnosis and help." Dr. Kristiina Tammimies emphasizes the AI model's utility in enhancing early autism identification through accessible data.
"I want to stress that the algorithm cannot diagnose autism as this should [still] be done with gold standard clinical methods." A reminder of the importance of clinical expertise in the diagnostic process.
"The results reveal that, overall, the model correctly identified 9,417 (78.9%) participants with or without autism spectrum disorder." This statistic highlights the potential effectiveness of the AI model in screening.
"Tammimies and colleagues report how they harnessed data from a US research initiative called the Spark study encompassing information from 15,330 children with a diagnosis of autism and 15,330 without." This underscores the comprehensive data source used for development.
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