Вештачка интелигенција

New Article: Using Artificial Intelligence for Diagnosing ADHD in Adolescents

Summary

Researchers have utilized artificial intelligence (AI) to analyze brain MRI scans in order to identify significant differences in white matter tracts in adolescents with ADHD. The study involved over 1,700 participants from the multi-institutional Brain Cognitive Development Study and employed […]

New Article: Using Artificial Intelligence for Diagnosing ADHD in Adolescents

Researchers have utilized artificial intelligence (AI) to analyze brain MRI scans in order to identify significant differences in white matter tracts in adolescents with ADHD. The study involved over 1,700 participants from the multi-institutional Brain Cognitive Development Study and employed diffusion-weighted imaging (DWI) and deep learning AI models to uncover these variations. Elevated fractional anisotropy (FA) values were found in nine white matter tracts in individuals with ADHD, providing objective biomarkers for diagnosis. This approach offers a novel, quantitative way of diagnosing ADHD, addressing the current reliance on subjective self-reported questionnaires.

FAQ:

1. How was the analysis of white matter tracts in the brain conducted?

The researchers used diffusion-weighted imaging (DWI) and artificial intelligence (AI) to analyze the white matter tracts in the brains of adolescents with ADHD.

2. What are the benefits of this research?

This research provides a quantitative and objective way to diagnose ADHD in adolescents, instead of the current dependence on subjective self-reported questionnaires.

3. How many participants were included in the study?

The study involved over 1,700 participants from the multi-institutional Brain Cognitive Development Study.

4. What are the implications of these findings for the diagnosis and treatment of ADHD?

These results can help in the development of objective methods for diagnosing ADHD based on imaging tests, which can facilitate early diagnosis and management of this disorder.

5. What are the next steps in the research?

The researchers plan to gather more data from the Brain Cognitive Development Study and compare the performance of additional AI models.

(Source: RSNA)