AI in Mental Health: Transforming Diagnosis and Therapy

Abstract

AI is revolutionizing mental health care by enabling early diagnosis, personalized therapy, and continuous monitoring of psychological well-being. This paper explores the role of AI-powered tools such as sentiment analysis in text and voice data, wearable devices for tracking physiological indicators of stress, and virtual therapists for delivering cognitive-behavioral therapy (CBT). The discussion highlights the potential of AI to bridge gaps in mental health access while addressing challenges such as algorithm bias, data privacy, and the human touch in therapy.