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Mental health disorders, affecting nearly one billion people globally, pose a silent yet pervasive threat to well-being, reducing life expectancy and straining families, workplaces, and healthcare systems. Traditional management tools, clinical interviews, questionnaires, and infrequent check-ins fall short, hampered by subjective biases and their inability to capture the nature of conditions. This chapter explores how wearable technologies, powered by advanced sensors, artificial intelligence (AI), and machine learning (ML), are revolutionizing mental health care by enabling continuous, objective monitoring. Focusing on four approaches – physiological, neurotechnological, contactless, and multimodal we analyze their mechanisms, applications, and transformative potential. These innovations promise proactive care, early intervention, and greater accessibility, yet face challenges. By integrating AI and refining device design, wearable technologies could redefine mental health management, empowering field, though their success hinges on overcoming technical and ethical hurdles.