Reimagining mental health: the role of artificial intelligence and brain computer interfaces in advancing mental health care

Authors

  • Shreevallabh A. Deshmukh N. K. Gokhale Junior College of Science, Akola, Maharashtra, India
  • Namita Deshmukh Department of Community Medicine, Dr. Rajendra Gode Medical College, Amravati, Maharashtra, India
  • Avinash Borkar Department of Community Medicine, Dr. Rajendra Gode Medical College, Amravati, Maharashtra, India https://orcid.org/0000-0002-6645-5898

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20252940

Keywords:

AI, Brain computer interfaces, Mental health, NLP, Ethical challenges

Abstract

This review elucidates the transformative impact of artificial intelligence (AI) on the diagnosis and management of prevalent mental health conditions. It highlights real world applications that are currently augmenting clinical decisions and refining therapeutic strategies, moving the field beyond traditional, subjective paradigms. Furthermore, this paper projects a future in which the confluence of AI and brain computer interfaces (BCIs) will catalyze revolutionary treatment paradigms, building upon precursors like deep brain stimulation. As neurotechnology continues its rapid advancement, AI is poised to evolve from a sophisticated decision support tool into an active therapeutic agent, directly integrated with the human brain. This synergy promises to usher in an era of precision mental healthcare, characterized by personalized, proactive, and highly effective interventions. This exploration also critically examines the profound ethical and societal challenges that must be navigated to ensure this technological evolution serves humanity equitably and responsibly.

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References

Arias D, Saxena S, Verguet S, Kestel D, Chisholm D. Quantifying the global burden of mental disorders and their economic value. eClin Med. 2023;54:101675. DOI: https://doi.org/10.1016/j.eclinm.2022.101675

Masoumi SJ. Applications and efficacy of artificial intelligence in obsessive compulsive disorder: A narrative review. J Nurs Rep Clin Pract. 2025;3(6):601-8. DOI: https://doi.org/10.32598/JNRCP.2502.1230

Aboraya A, Rankin E, France C, El-Missiry A, John C. The reliability of psychiatric diagnosis revisited: The clinician's guide to improve the reliability of psychiatric diagnosis. Psychiatry (Edgmont). 2006;3(1):41-50.

Olawade DB, Wada OZ, Odetayo A, David-Olawade AC, Asaolu F, Eberhardt J. Enhancing mental health with artificial intelligence: Current trends and future prospects. J Med Surg Public Health. 2024;3:100099. DOI: https://doi.org/10.1016/j.glmedi.2024.100099

Vasilchenko KF, Chumakov EM. Current status, challenges and future prospects in computational psychiatry: a narrative review. Consort Psychiatr. 2023;4(3):33-42. DOI: https://doi.org/10.17816/CP11244

Shih JJ, Krusienski DJ, Wolpaw JR. Brain-computer interfaces in medicine. Mayo Clin Proc. 2012;87(3):268-79. DOI: https://doi.org/10.1016/j.mayocp.2011.12.008

Chandran D, Robbins DA, Chang CK, Shetty H, Sanyal J, Downs J, et al. Use of natural language processing to identify obsessive compulsive symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder. Sci Rep. 2019;9(1):14146. DOI: https://doi.org/10.1038/s41598-019-49165-2

Kim J, Pacheco JPG, Golden A, Aboujaoude E, van Roessel P, Gandhi A, et al. Artificial intelligence in obsessive-compulsive disorder: A systematic review. Curr Treat Options Psychiatry. 2025;12(1):23. DOI: https://doi.org/10.1007/s40501-025-00359-8

Anand K, Srivastava N. The role of WYSA: An experimental study on chatbot assistance for wellbeing among adults with anxiety, depression, and stress. Int J Indian Psychol. 2025;13(2):670-85.

Zhang L, Zhao S, Yang Z, Zheng H, Lei M. An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning. BMC Psychiatry. 2024;24(1):581. DOI: https://doi.org/10.1186/s12888-024-06017-2

Waring OM, Majumder MS. Introduction to digital phenotyping for global health. In: Leveraging Data Science for Global Health. 2020;251-61. DOI: https://doi.org/10.1007/978-3-030-47994-7_15

Akhtar ZB, Rozario VS. AI perspectives within computational neuroscience: EEG integrations and the human brain. Artif Intell Appl. 2025;3(2):145-60. DOI: https://doi.org/10.47852/bonviewAIA52024174

Hervé E, Mento G, Desnous B, François C. Challenges and new perspectives of developmental cognitive EEG studies. Neuroimage. 2022;260:119508. DOI: https://doi.org/10.1016/j.neuroimage.2022.119508

Shoaran M. Next generation closed loop neural interfaces: circuit and AI driven innovations. IEEE Solid State Circuits Mag. 2023;15(4):41-9. DOI: https://doi.org/10.1109/MSSC.2023.3309782

Belkacem AN, Jamil N, Khalid S, Alnajjar F. On closed loop brain stimulation systems for improving the quality of life of patients with neurological disorders. Front Hum Neurosci. 2023;17:1085173. DOI: https://doi.org/10.3389/fnhum.2023.1085173

Thakkar A, Gupta A, De Sousa A. Artificial intelligence in positive mental health: a narrative review. Front Digit Health. 2024;6:1280235. DOI: https://doi.org/10.3389/fdgth.2024.1280235

Ford TJ, Buchanan DM, Azeez A, Benrimoh DA, Kaloiani I, Bandeira ID, et al. Taking modern psychiatry into the metaverse: Integrating augmented, virtual, and mixed reality technologies into psychiatric care. Front Digit Health. 2023;5:1146806. DOI: https://doi.org/10.3389/fdgth.2023.1146806

Tilala MH, Chenchala PK, Choppadandi A, Kaur J, Naguri S, Saoji R, et al. Ethical considerations in the use of artificial intelligence and machine learning in health care: A comprehensive review. Cureus. 2024;16(6):e62443.

Bose A, Dutta B, Taramol KG, Sarkar M, Chatterjee S, Majumdar AC. Ethical considerations in the era of artificial intelligence: implications for mental health, well-being, and digital health. South East Eur J Public Health. 2024;1397-419.

Fisher CE. The real ethical issues with AI for clinical psychiatry. Int Rev Psychiatry. 2024;37(1):14-20. DOI: https://doi.org/10.1080/09540261.2024.2376575

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Published

2025-09-19

How to Cite

Deshmukh, S. A., Deshmukh, N., & Borkar, A. (2025). Reimagining mental health: the role of artificial intelligence and brain computer interfaces in advancing mental health care. International Journal Of Community Medicine And Public Health, 12(10), 4819–4823. https://doi.org/10.18203/2394-6040.ijcmph20252940

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Section

Review Articles