Abstract
Artificial intelligence (AI) is revolutionizing mental health care by improving access to diagnostic and therapeutic services and offering innovative tools for early intervention. AI’s ability to analyze vast amounts of data enables better predictions, treatment recommendations, and enhanced patient outcomes. Despite its potential, the integration of AI in mental health care faces challenges, including ethical concerns, data privacy, and the risk of biased algorithms. This paper investigates the current challenges in traditional mental health care, discusses AI applications, and highlights future opportunities and ethical considerations. The ongoing development of AI holds promise for reducing the treatment gap and enhancing the quality and efficiency of mental health care delivery. Keywords: Artificial intelligence, mental health care, diagnosis, therapy, AI ethics
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