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AI Revolution in Mental Health: Exploring Current Applications and Envisioning Future Horizons
Abstract
There has been a lot of interest in integrating AI technology into mental health services due to the potential for AI to improve patient assistance, diagnosis, and treatment. Through online mobile apps, AI is being utilized in treatment to enhance user experience and optimize customized mental health care. An overview of deep learning, machine learning, and natural language processing techniques in mental health is provided in this article. The article covers the use of AI and IoT integration to detect mental health as well as advancements in the field of mental health. The advantages of machine learning for mental health are discussed in this article, along with barriers to its application in mental health, including privacy and ethical concerns. This article emphasizes multidisciplinary collaboration across stakeholders and digital interventions in mental health treatment. The article's conclusion explores the potential for the rise of AI to mental health. It also highlights the revolutionary effect that AI can have on enhancing the quality of mental health care.
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