A recent study conducted by researchers using artificial intelligence (AI) technology to analyze brain MRI scans has discovered notable differences in the white matter tracts of adolescents diagnosed with ADHD. Using a deep-learning AI and diffusion-weighted imaging, researchers found elevated fractional anisotropy values in nine white matter tracts in individuals with ADHD. This could provide a more objective, imaging-based method of diagnosing ADHD, addressing the current dependence on subjective self-reported surveys.

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