NOBLE APPROACH TO MINIMISE MENTAL HEALTH AND ILLNESS USING AI
Artificial Intelligence (AI) is revolutionizing industries globally, and mental healthcare is no exception. This review outlines the role of AI in mental health services, examining its recent developments, ethical dilemmas, and the future outlook of this rapidly evolving field. It also discusses regulatory concerns and trends in research and development. The studies analyzed were sourced from four key databases: PubMed, IEEE Xplore, PsycINFO, and Google Scholar. This review highlights state-of-the-art AI applications and the significant ethical considerations influencing contemporary mental healthcare practices.Only peer-reviewed journal articles, conference proceedings, and credible papers focusing on AI's role in mental health were included in the review. Additionally, reviews that provided a thorough overview or critical analysis of English-language research were considered. Current trends indicate that AI could profoundly transform mental healthcare, from early detection of psychiatric disorders to personalized treatments and AI-driven virtual therapists. However, these innovations come with ethical challenges, primarily concerning privacy, bias mitigation, and maintaining human interaction in therapy. Moving forward, addressing these issues will require responsible implementation supported by clear regulatory guidelines, transparent AI model validation, and robust research efforts. By integrating AI into therapeutic practices, new opportunities emerge, butSuccess depends on overcoming ethical challenges and setting a clear path forward. With thoughtful strategies, AI has the potential to enhance the accessibility, efficiency, and ethical standards of mental healthcare for individuals and communities alike.
Authors
- Vipul Narayan (ORCID: https://orcid.org/0000-0003-4248-5782)
- Utkarsh Anand
- V.K. Rajput
Institutions
- Galgotias University (IN)
Publication Details
- Journal
- International Journal of Research -GRANTHAALAYAH
- Published
- 2025-04-17
- DOI
- https://doi.org/10.29121/granthaalayah.v13.i3.2025.6060
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00