Enhancing ADHD Diagnostic Assessments with Virtual Reality integrated with Biofeedback and Artificial Intelligence

Several studies have explored the integration of Virtual Reality (VR), Artificial Intelligence (AI), and biofeedback technologies for therapeutic applications in mental health. These works collectively highlight the potential of VR to provide immersive and controlled environments to improve attention and mitigate anxiety disorders. Meta-analyses and systematic reviews from these studies reveal that VR-based interventions, show promise in enhancing cognitive functions such as sustained attention and memory, particularly in children and adolescents with Attention-Deficit/Hyperactivity Disorder (ADHD). For anxiety disorders, VR exposure therapy has been applied effectively in safe, repeatable settings, with measurable reductions in avoidance behaviors and anxiety symptoms. Additionally, AI-driven report creation and anxiety classification for ADHD assessments using VR have shown the potential to personalize therapy by dynamically adjusting to users' physiological and behavioral responses. However, limitations such as the high variability in biofeedback responses, small sample sizes, and inconsistent outcomes across studies underscore the need for further research to standardize protocols, improve accessibility, and evaluate the cost-effectiveness of these emerging tools. Collectively, these findings establish a growing foundation for integrating advanced technologies into mental health care, while also illuminating areas for future exploration. This paper explores the integration of biofeedback mechanisms with Virtual Reality (VR) and then applies Artificial Intelligence (AI) to generate reports to enhance ADHD diagnostic assessments. By leveraging immersive VR environments, AI-driven adaptive interfaces, and real-time physiological monitoring through biofeedback, we aim to create a standardized yet personalized diagnostic framework.