How is artificial intelligence being utilized in diagnosing hyperactivity in ADHD?

PostedAugust 25, 2025

UpdatedSeptember 5, 2025

ByMy Patient Advice

Author: Victoria Rowe, MSc | Reviewed by: Dr. Rebecca Fernandez, MBBS

The use of AI diagnosis in ADHD is a rapidly evolving area of research, offering promising ways to improve accuracy and efficiency in identifying hyperactivity symptoms. By utilsing machine learning, digital screening, and advanced AI tools, clinicians are finding new ways to support traditional diagnostic methods.

AI can help identify patterns in behaviour, brain imaging, and questionnaire data that might otherwise go unnoticed, paving the way for earlier and more precise interventions.

How AI Supports ADHD Diagnosis

Here are some of the ways AI diagnosis is being applied to ADHD:

Machine Learning Models

Algorithms are trained on large datasets of patient information to detect subtle indicators of hyperactivity and attention issues, improving diagnostic confidence.

Digital Screening Tools

AI-powered apps and platforms can analyse user responses, movements, and even facial expressions during tests, providing objective insights alongside clinician assessments.

AI Tools for Brain Imaging

Artificial intelligence enhances the interpretation of neural imaging data, highlighting differences in brain activity and structure linked to ADHD.

Predictive Analytics

By examining family history, medical records, and behavioural data, AI systems can help predict which individuals are at higher risk and recommend further evaluation.

These advances in AI diagnosis, combined with traditional clinical expertise, are making ADHD evaluations more comprehensive and accessible. Visit providers like ADHD Certify for personal consultations and to learn about the latest diagnostic innovations.

For a deeper dive into the science, diagnosis, and full treatment landscape, read our complete guide to Hyperactivity.

Victoria Rowe, MSc

Author

Victoria Rowe is a health psychologist with a Master’s in Health Psychology and a BS in Applied Psychology. She has experience as a school psychologist, conducting behavioural assessments, developing individualized education plans (IEPs), and supporting children’s mental health. Dr. Rowe has contributed to peer-reviewed research on mental health, including studies on anxiety disorders and the impact of COVID-19 on healthcare systems. Skilled in SPSS, Minitab, and academic writing, she is committed to advancing psychological knowledge and promoting well-being through evidence-based practice.

All qualifications and professional experience stated above are authentic and verified by our editorial team. However, pseudonym and image likeness are used to protect the author's privacy.

Dr. Rebecca Fernandez, MBBS

Reviewer

Dr. Rebecca Fernandez is a UK-trained physician with an MBBS and experience in general surgery, cardiology, internal medicine, gynecology, intensive care, and emergency medicine. She has managed critically ill patients, stabilised acute trauma cases, and provided comprehensive inpatient and outpatient care. In psychiatry, Dr. Fernandez has worked with psychotic, mood, anxiety, and substance use disorders, applying evidence-based approaches such as CBT, ACT, and mindfulness-based therapies. Her skills span patient assessment, treatment planning, and the integration of digital health solutions to support mental well-being.

All qualifications and professional experience stated above are authentic and verified by our editorial team. However, pseudonym and image likeness are used to protect the reviewer's privacy.