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Using AI to identify ADHD subtypes and tailor interventions

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Introduction

ADHD is not one-size-fits-all. From inattentive to hyperactive-impulsive to combined types, each ADHD subtype comes with unique traits and challenges. But what if artificial intelligence (AI) could help us understand these subtypes better—and tailor support more effectively? Good news: it can, and it’s already happening.

Let’s explore how AI is being used to recognize ADHD subtypes and personalize interventions, transforming the way individuals with ADHD are diagnosed and supported.

A digital illustration with a central image of a human head filled with colorful gears, suggesting thought processes and brain function. Surrounding this are various stylized icons and diagrams representing different neurological concepts, including "ADHD," "Donation," "Integration," "Deteriorating," "Developing," "Didactic Teaching" (represented by a lightbulb), "Targeting," "Attending," and "Interventions." The overall aesthetic is a blend of anatomical and abstract, using a cool blue color palette with pops of color.

What Are ADHD Subtypes?

ADHD subtypes include:

  • Inattentive: Trouble focusing, forgetfulness, easily distracted

  • Hyperactive-Impulsive: Fidgeting, interrupting, difficulty staying still

  • Combined: A mix of both

Each subtype requires different strategies, but identifying the right one isn’t always easy. That’s where AI comes in.

Four medical professionals (three wearing white coats with stethoscopes) are gathered around a table, attentively listening to a colleague (also in a white coat) who is pointing at a large screen displaying charts and graphs related to "ADHD" and "AID MYNA DETECTYPES." The atmosphere suggests a medical conference, training session, or research discussion.

How AI Helps Identify ADHD Subtypes

AI algorithms can analyze massive amounts of data from brain scans, behavior tracking, speech patterns, and questionnaires faster and more accurately than humans. Here's how:

AI-Powered Diagnostic Tools

  • Qbtech: This tool combines motion tracking with attention analysis to assess hyperactivity, impulsivity, and inattention. The result? More accurate subtype classification.

  • Cognoa: Designed for pediatric behavioral health, Cognoa uses machine learning to help clinicians assess and diagnose children more quickly, identifying symptoms specific to ADHD subtypes.

Five diverse professionals are gathered around a light wooden table in a bright, modern office space. Two women are standing, one holding papers with diagrams, while three individuals (two men and one woman) are seated with laptops open. The text overlay reads "AI solutions for tailoring intervention for ADHD subtypes," suggesting a collaborative discussion or brainstorming session focused on using artificial intelligence to personalize ADHD treatment.

Tailoring Interventions with AI

Once a subtype is identified, AI can assist in personalizing intervention plans. That includes choosing the right:

  • Time management tools

  • Medication approaches

  • Therapy techniques

  • Daily habit builders

A digital illustration depicts a doctor-like figure standing next to a giant smartphone displaying "ADHD Coaching." The phone's screen shows a stylized head with gears inside, representing cognitive processes, along with interactive buttons for "Delifahme," "Sinip hiile," and "Intrevnention." An AI speech bubble points towards the doctor, while a person sits at a desk with a computer on the right, seemingly interacting with the coaching app.

AI-Powered Coaching Tools

  • ChatGPT & AI-Based Assistants: Tools like ChatGPT can simulate ADHD coaching conversations. For example:

    • "Help me plan my day with ADHD" → Get a clear, broken-down to-do list tailored to your focus window.

    • "Remind me every 20 minutes to take a break" → Chat-based AI reminders help manage hyperfocus or task fatigue.

  • Reclaim.ai: A smart calendar tool that understands your work rhythm and prioritizes tasks based on your ADHD-specific productivity pattern.

A split-panel illustration contrasts a "Real-Life Scenario" on the left with an "AI-Related Therapy" section on the right. The left side depicts a young woman using a laptop and phone, with text describing someone with inattentive-type ADHD at 25. An idea lightbulb icon floats above her. The right side features an avatar of a woman with glasses and text describing AI assistance in understanding and addressing ADHD, including tailored morning routines and improved productivity and social connection within weeks.

Real-Life Scenario

Meet Sarah, diagnosed with ADHD at 25. Using Qbtech, she discovered she had the inattentive subtype. Then, with help from ChatGPT and Reclaim.ai, she created a morning routine that improved her focus and reduced overwhelm. Within 3 weeks, her productivity soared—and so did her self-confidence.

A digital illustration depicts a young female doctor or researcher holding a magnifying glass up to a holographic display filled with information related to ADHD. The display features a stylized human head with gears, brain scans, charts, and keywords like "ADHD," "Attention," and "Dopamine." The overall aesthetic is a blend of medical and technological, suggesting advanced research or diagnostics for attention deficit hyperactivity disorder.

Why This Matters

AI is not replacing human care—it’s enhancing it. By helping pinpoint specific ADHD subtypes and tailoring interventions, AI tools empower individuals to understand themselves better and take more effective steps toward thriving.

A vibrant and surreal illustration depicts a child with a rainbow-colored brain, seemingly overwhelmed by a multitude of colorful toys, gadgets, and sensory objects swirling around their head. The child is seated in a small blue car with the license plate "ADDHID," navigating a track made of colorful shapes. The scene visually represents the sensory overload and stimulating environment that can be associated with ADHD.

Final Thoughts

The future of ADHD support is personal, data-driven, and powered by AI. If you’ve struggled to find strategies that truly fit your ADHD experience, AI could be the missing puzzle piece.

Have you tried any of these tools or found others that help you manage your ADHD more effectively? I’ll be sharing more tips, tools, and stories every week—so stay tuned and feel free to connect with others who are on the same journey. Together, we’re building a supportive space for people with ADHD to thrive.

If you’re curious about how AI is reshaping ADHD diagnosis, don’t miss our previous post: Do I Have ADHD? How AI Tools Are Changing ADHD Testing — it’s a great starting point to understand how technology is making ADHD testing more accessible and accurate.

Personalized ADHD InterventionsAI Tools ADHD DiagnosisADHD Subtypes ExplainedAI Tools ADHD Coaching

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