THE ROLE OF ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in the field of mental health, offering innovative solutions to address the growing global burden of mental illness. This paper explores the multifaceted role of AI in mental health, highlighting its potential to revolutionize diagnosis, treatment, and support services. AI-driven diagnostic tools leverage advanced algorithms to analyze diverse datasets, including electronic health records, genetic information, and behavioral data, to improve the accuracy and efficiency of mental health assessments. These tools enable early detection of mental health disorders, personalized treatment planning, and targeted interventions based on individual risk profiles. In treatment, AI-powered interventions such as virtual reality exposure therapy, cognitive behavioral therapy (CBT) chatbots, and digital therapeutics offer scalable and accessible alternatives to traditional therapy, enhancing engagement, adherence, and outcomes for individuals with mental health concerns. AI also supports clinical decision-making by providing evidence-based recommendations, predictive analytics, and decision support systems to guide treatment selection and monitoring.