
AI Unveils ADHD Brain Differences and Diagnostic Potential in Teens
Researchers have utilized artificial intelligence (AI) to analyze brain MRI scans and identify significant differences in white matter tracts of adolescents with ADHD. The study, involving over 1,700 participants, used deep-learning AI and diffusion-weighted imaging (DWI) to detect elevated fractional anisotropy (FA) values in nine specific white matter tracts in individuals with ADHD. This research offers a promising step towards developing objective, imaging-based diagnostic methods for ADHD, addressing the current reliance on subjective self-reported surveys.
