Predicting ADHD in Children and Adolescents With Artificial Intelligence: A Scoping Review of Common Models.

ABSTRACT:

Background and aims

Attention-Deficit/Hyperactivity Disorder (ADHD) is one of the most prevalent neurodevelopmental disorders in childhood and adolescence, and its early diagnosis is essential for preventing long-term cognitive and behavioural issues. Artificial intelligence (AI), as an emerging tool, holds significant potential for early prediction and detection of this disorder through analyzing clinical and behavioral data. This study reviews recent research on how AI is used to predict ADHD in children and adolescents.

Methods

The PubMed, Scopus, Web of Science, and Embase databases were searched for articles on the use of artificial intelligence to predict ADHD through October 14, 2025. Data were collected using an extraction form based on the PRISMA-ScR guidelines, and

SUBMITTER: Ameri A 

PROVIDER: S-EPMC12719396 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature