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Transforming Mental Health Care Through AI Technology
Abstract
This article explores the transformative potential of artificial intelligence (AI) in mental health care, highlighting its ability to improve accessibility, personalize treatment, and enhance clinical efficiency. It traces the historical development of AI in psychological practice, from early cognitive modeling and expert systems to modern applications such as virtual therapists, predictive diagnostics, and real-time monitoring. The article also addresses the ethical and practical challenges of AI integration, including emotional comprehension, algorithmic bias, data privacy, and public trust. Emphasis is placed on the importance of ethical design, interdisciplinary collaboration, and user-centered development to ensure that AI tools are effective, inclusive, and trustworthy. Ultimately, the article advocates for a hybrid model of care, one that combines the analytical power of AI with the empathy and insight of human clinicians, to create mental health systems that are both innovative and humane.
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