Enhancing ADHD support through a human-AI collaboration framework: Integrating AI-driven assessments and post-therapy mentorship

Abstract

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental condition marked by inattention, impulsivity, and hyperactivity, significantly affecting well-being and workplace productivity. Current management strategies often lack scalability, personalization, and continuous support. Advances in Artificial Intelligence (AI) present new opportunities to address these gaps through enhanced diagnosis, treatment, monitoring, and mentorship. Based on existing research, this study proposes a Human-AI Collaboration Model for ADHD Support encompassing Diagnosis, Therapeutic Support, and Post-Therapy Monitoring and Mentoring. Combining AI’s precision with human empathy, the model provides a scalable, holistic approach to ADHD care in ADHD life and organizational context. The study recommends the future development of a Minimum Viable Product (MVP) for the proposed model to validate its effectiveness for future innovation.