Artificial Intelligence (AI) has emerged as a transformative force in various fields, and its application in mental healthcare is no exception. This review explores the integration of AI into mental healthcare, elucidating current trends, ethical considerations, and future directions in this dynamic field. The review encompassed recent studies, examples of AI applications, and ethical considerations shaping the field. Regulatory frameworks and trends in research and development were also analyzed. Current trends reveal AI's transformative potential, with applications such as the early detection of mental health disorders, personalized treatment plans, and AI-driven virtual therapists. However, these advancements are accompanied by ethical challenges concerning privacy, bias mitigation, and the preservation of the human element in therapy. Future directions emphasize the need for clear regulatory frameworks, transparent validation of AI models, and continuous research and development efforts. Integrating AI into mental healthcare represents a promising frontier, but responsible and ethical implementation is essential.

David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, Aanuoluwapo Clement David-Olawade, Fiyinfoluwa Asaolu, Judith Eberhardt