INTERACTION OF ARTIFICIAL INTELLIGENCE (AI) AND MENTAL HEALTH: A SYSTEMATIC REVIEW

Abstract

The interaction of artificial intelligence (AI) and mental health has advanced significantly, throughout the years, progressing from historical milestones to modern applications. This paper presents a comprehensive account of the evolution of AI in mental health, from its inception to its current form. Initially, AI was used mostly in decision support systems and diagnostic tools, assisting physicians with assessments and treatment plans. However, with the introduction of machine learning and deep learning algorithms, AI has transformed mental health treatment by allowing for predictive modeling, individualized therapies, and scalable solutions.