A school project prompted 17-year-old Edward Kang to develop an AI tool that may lead to earlier diagnoses of the disorders.

CHICAGO -- An artificial intelligence (AI) deep-learning model pinpointed significant differences in nine brain white matter tracts in adolescents with attention deficit-hyperactivity disorder (ADHD), ...

COVID lockdowns and home schooling seemed never-ending for a lot of families. But there were some silver linings. Our new research published in two papers looked at ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention deficit hyperactivity disorder (ADHD) in kindergarten students. In a recent ...

"Maybe some ADHD kids aren’t being difficult..." ...

I try hard to avoid sitting in a big room listening to a speech that doesn’t interest me. I find it physically uncomfortable to remain still and focus when I’d rather be doing something else. But ...

Researchers have discovered that symptoms of attention-deficit/hyperactivity disorder (ADHD) are tied to atypical interactions between the brain's frontal cortex and ...

Scientists at the University of Michigan have developed machine learning models to predict childhood attention-deficit hyperactivity (ADHD) disorder symptoms from neurocognitive testing and child ...

A new perspective on ADHD emerges as Dr. Naomi Fisher, a clinical psychologist, questions the traditional view of ADHD as a ...