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Enhancing ADHD Support Through a Human-AI Collaboration Framework: Integrating AI-Driven Assessments and Post-Therapy Mentorship
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Author(s): Nour El Hoda Tarabah (Ibn Haldun University, Turkey)
Copyright: 2025
Pages: 38
Source title:
Transforming Neuropsychology and Cognitive Psychology With AI and Machine Learning
Source Author(s)/Editor(s): Rohit Bansal (Stanford Institute of Management and Technology, Australia), Tariq Maqableh (Charles Sturt University, Australia), Gunjan Shuklaa (SICA College, Indore, India), Fazla Rabby (Stanford Institute of Management and Technology, Australia)and Remya Lathabhavan (Indian Institute of Management, Bodh Gaya, India)
DOI: 10.4018/979-8-3693-9341-3.ch016
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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.
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