Abstract
Artificial intelligence (AI) has emerged as a transformative tool in the field of mental health, offering new avenues for diagnosis, treatment personalization, and patient care. This paper explores recent advancements in AI technologies, ethical challenges associated with their implementation, and potential future directions for integrating AI into clinical practice to enhance mental health care. Artificial intelligence (AI) technologies have shown great potential in transforming mental health diagnosis, offering novel approaches to enhance accuracy, efficiency, and accessibility of diagnostic processes. This paper reviews recent advancements in AI methodologies, explores their applications in mental health diagnosis, discusses associated challenges, and suggests future directions for research and implementation.
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