Paper Key : IRJ************492
Author: Rhoda Ajayi
Date Published: 03 Jan 2025
Abstract
The intersection of artificial intelligence (AI) and mental health care presents transformative opportunities for managing complex mental health conditions and addiction treatments. With the global rise in mental health disorders, including depression, anxiety, bipolar disorder, and substance abuse, there is a growing need for innovative, scalable, and personalized approaches to diagnosis, treatment, and ongoing care. AI-powered technologies, such as machine learning algorithms, natural language processing (NLP), and predictive analytics, are reshaping traditional mental health practices by enabling early detection, accurate diagnosis, and tailored interventions. From a broader perspective, AI enhances the understanding of complex mental health conditions by analysing large datasets, identifying patterns, and predicting risk factors. Applications include AI-driven chatbots for initial screening, wearable devices for real-time monitoring of behavioural and physiological indicators, and NLP-based sentiment analysis for tracking mood and mental states. These technologies provide clinicians with actionable insights, improving decision-making and patient outcomes. Focusing on addiction treatments, AI aids in personalized recovery programs by predicting relapse risks, tailoring treatment plans, and facilitating behavioural modification through AI-powered therapy tools. Virtual reality (VR) and augmented reality (AR) therapies, combined with AI, are proving effective in exposure therapy and stress management. Moreover, AI supports continuous care by enabling remote monitoring, enhancing accessibility, and fostering engagement through interactive platforms. This paper explores AI's role in advancing mental health care, highlighting its applications in managing complex conditions and addiction treatments. It underscores the ethical considerations, challenges, and potential for AI to revolutionize mental health care, offering scalable, data-driven solutions for a growing global crisis.
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