EXPLORING THE ROLE OF ARTIFICIAL INTELLIGENCE IN MENTAL HEALTH DIAGNOSIS AND TREATMENT

Abstract

Mental health disorders, which affect millions globally, remain a significant challenge in the healthcare industry. Traditional methods of diagnosing and treating mental illnesses often involve subjective evaluation and lengthy treatment periods. With the rapid development of Artificial Intelligence (AI), innovative approaches to mental health diagnosis and treatment have emerged, offering the potential for more accurate assessments and personalized care. This article explores the role of AI in mental health, examining its applications in diagnostics, treatment planning, and patient management. The potential for AI to enhance mental health care is promising, but challenges related to data privacy, ethical concerns, and system integration remain. This review presents a detailed discussion on the current applications of AI in mental health, the technological frameworks involved, and future directions for integration into clinical settings.