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Rajinder Kumar,
Abstract
Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential depersonalization of care. Information experts are crucial in artificial intelligence (AI) system management. They cooperate with mental health professionals, simplify knowledge management, and assist in maintaining ethical data handling practices. Information professionals, as this article underlined while examining the developments and challenges of AI integration for mental health services, may help define a responsible and successful future for AI-driven mental health care. New technologies like wearable devices and natural language processing underline the requirement of lifelong learning and multidisciplinary collaboration to satisfy the always-changing demands of artificial intelligence. In the mental healthcare sector, artificial intelligence (AI) is becoming increasingly used; it might transform many aspects, including diagnosis, treatment, access, and detection. From sophisticated decision-support systems built to help doctors to AI-driven, chatbots and virtual therapists, this integration spans a broad range of uses. Still, major ethical, pragmatic, and scientific issues have to be fully addressed if we are to ensure a responsible and effective application of artificial intelligence in mental health.
Keywords: AI for Mental Health, Review of Literature, Problems and Ethical Issues, AI-driven virtual therapists, Mental Health Nurses.
[This article belongs to Research and Reviews : Journal of Computational Biology ]
Rajinder Kumar. Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects. Research and Reviews : Journal of Computational Biology. 2025; 14(03):-.
Rajinder Kumar. Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects. Research and Reviews : Journal of Computational Biology. 2025; 14(03):-. Available from: https://journals.stmjournals.com/rrjocb/article=2025/view=215785
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Research and Reviews : Journal of Computational Biology
| Volume | 14 |
| Issue | 03 |
| Received | 22/04/2025 |
| Accepted | 28/06/2025 |
| Published | 04/07/2025 |
| Publication Time | 73 Days |
