AI Analysis of Brain Scans Could Improve ADHD Diagnosis and Understanding
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Researchers used AI to analyze brain scans of teens with and without ADHD, finding differences in white matter tracts that could aid diagnosis.
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The study utilized a specialized MRI technique and deep learning AI to examine scans from over 1,700 individuals.
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The AI model detected higher fractional anisotropy (FA) values in 9 white matter tracts of those with ADHD.
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Abnormalities found aligned with common ADHD symptoms; provides further biological understanding.
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More objective ADHD diagnosis could help patients, reduce costs/size of drug trials, and benefit society.