Published March 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

AI-Driven Tools for Detecting and Monitoring Mental Health Conditions Though Behaviour Patterns

Creators

  • 1. Department of Computer Application, Babu Banarasi Das University, Lucknow (Uttar Pradesh), India.

Description

Abstract: Artificial intelligence (AI) is revolutionizing the field of mental health treatment through the application of machine learning, natural language processing, digital phenotyping, and chatbot technologies, offering unprecedented opportunities for widespread mental health support, continuous monitoring, personalized therapy, and early diagnosis. Emerging innovations such as AI-generated synthetic data, augmented reality (AR), and brain-computer interfaces (BCIs) present promising solutions to address persistent challenges in mental health care, including accessibility and personalization. These advancements hold the potential to significantly enhance treatment outcomes, broaden the reach of mental health services, and provide more proactive interventions. However, as AI technologies advance, it is critical to address ethical, privacy, and legal concerns to ensure responsible development and deployment. By carefully navigating these issues, AI can democratize mental health care, making it more accessible, effective, and efficient on a global scale. The integration of AI into mental health services, when managed properly, could lead to a more inclusive and equitable approach to mental health treatment, reshaping the landscape of mental health care for future generations.

Files

B105405020125.pdf

Files (593.1 kB)

Name Size Download all
md5:ba174424863babde441070346fb559e0
593.1 kB Preview Download

Additional details

Identifiers

DOI
10.54105/ijpmh.B1054.05030325
EISSN
2582-7588

Dates

Accepted
2025-03-15
Manuscript received on 27 December 2024 | First Revised Manuscript received on 03 January 2025 | Second Revised Manuscript received on 18 February 2025 | Manuscript Accepted on 15 March 2025 | Manuscript published on 30 March 2025.

References

  • Rathnayaka, P. et al. (2022) 'A mental health chatbot with cognitive skills for personalized behavioural activation and remote health monitoring', Sensors, 22(10), p. 3653. DOI: http://doi.org/10.3390/s22103653
  • Graham, Sarah, et al. "Artificial intelligence for mental health and mental illnesses: an overview." Current psychiatry reports 21 (2019): 1- 18. DOI: https://doi.org/10.1007/s11920-019-1094-0
  • Olawale, David B., et al. "Enhancing mental health with Artificial Intelligence: Current trends and future prospects." Journal of medicine, surgery, and public health (2024): 100099. DOI: https://doi.org/10.1016/j.glmedi.2024.100099
  • Al-Husayni, Ahmed M. "Exploring the Role of Artificial Intelligence in Mental Healthcare: Current Trends and Future Directions–A Narrative Review for a Comprehensive Insight." Risk Management and Healthcare Policy (2024): 1339-1348. DOI: https://doi.org/10.2147/RMHP.S461562
  • Su, Chang, et al. "Deep learning in mental health outcome research: a scoping review." Translational Psychiatry 10.1 (2020): 116. DOI: https://doi.org/10.1038/s41398-020-0780-3
  • De Choudhury, Munmun, and Emre Kaiman. "Integrating artificial and human intelligence in complex, sensitive problem domains: experiences from mental health." Ai Magazine 39.3 (2018): 69-80. DOI: https://doi.org/10.1609/aimag.v39i3.2815
  • Garcia-Ceja, Enrique, et al. "Mental health monitoring with multimodal sensing and machine learning: A survey." Pervasive and Mobile Computing 51 (2018): 1-26. DOI: https://doi.org/10.1016/j.pmcj.2018.09.003
  • Zhang, Tianjin, et al. "Natural language processing applied to mental illness detection: a narrative review." NPJ digital medicine 5.1 (2022): 1-13. DOI: https://doi.org/10.1038/s41746-022-00589-7
  • Corvette, Luca, et al. "Speech and Language Impairment Detection by Means of AI-Driven Audio-Based Techniques." environments 12.13 (2024): 14. https://ceur-ws.org/Vol-3869/p03.pdf
  • Doghair, Gaidai Maher, and Abrar Hussain. "Patient care through AIdriven remote monitoring: Analysing the role of predictive models and intelligent alerts in preventive medicine." Journal of Contemporary Healthcare Analytics 7.1 (2023): 94-110. https://publications.dlpress.org/index.php/jcha/article/view/20
  • Tuten, Salih, et al. "An AI-based decision support system for predicting mental health disorders." Information Systems Frontiers 25.3 (2023): 1261-1276. DOI: https://doi.org/10.1007/s10796-022-10282-5
  • Abd-Aliraza, Alaa, et al. "The performance of artificial intelligencedriven technologies in diagnosing mental disorders: an umbrella review." NJ Digital Medicine 5.1 (2022): 87. DOI: https://doi.org/10.1038/s41746-022-00631-8
  • "Digital transformation of mental health services." NJ Mental Health Research 2.1 (2023): DOI: https://doi.org/10.1038/s44184-023-00033- y
  • Maturi, Mohan Harish, et al. "The Intersection of Artificial Intelligence and Neuroscience: Unlocking the Mysteries of the Brain." International Journal of Creative Research In Computer Technology and Design 4.4 (2022): 1-21. https://jrctd.in/index.php/IJRCTD/article/view/65
  • de Filippis, Rocco, and Abdullah Al Faysal. "Chatbots in Psychology: Revolutionizing Clinical Support and Mental Health Care." Voice of the Publisher 10.3 (2024): 298-321. DOI: https://doi.org/10.4236/vp.2024.103025
  • Lee, Ellen E., et al. "Artificial intelligence for mental health care: clinical applications, barriers, facilitators, and artificial wisdom." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6.9 (2021): 856-864. DOI: https://doi.org/10.1016/j.bpsc.2021.02.001
  • Avasthi, Sandhya, et al. "Augmenting mental healthcare with artificial intelligence, machine learning, and challenges in telemedicine." Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization. IGI global, 2022. 75-90. DOI: https://doi.org/10.4018/978-1-7998-8786-7.ch005
  • Warrier, Uma, Aparna Warrier, and Komal Khandelwal. "Ethical considerations in the use of artificial intelligence in mental health." The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 59.1 (2023): 139. DOI: https://doi.org/10.1186/s41983-023-00735-2
  • Straw, Isabel, and Chris Callison-Burch. "Artificial Intelligence in mental health and the biases of language-based models." Plops one 15.12 (2020): e0240376. DOI: https://doi.org/10.1371/journal.pone.0240376
  • Kolding, Sara, et al. "Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review." Acta Neuropsychiatric a (2024): 1-14. DOI: https://doi.org/10.1017/neu.2024.50
  • Kolding, Sara, et al. "Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review." Acta Neuropsychiatric a (2024): 1-14. DOI: https://doi.org/10.1017/neu.2024.50
  • Beckman, Leonard. "Improving mental health services: A 50-year journey from randomized experiments to artificial intelligence and precision mental health." Administration and Policy in Mental Health and Mental Health Services Research 47.5 (2020): 795-843. DOI: https://doi.org/10.1007/s10488-020-01065-8
  • Timmons, Adela C., et al. "A call to action on assessing and mitigating bias in artificial intelligence applications for mental health." Perspectives on Psychological Science 18.5 (2023): 1062-1096. DOI: https://doi.org/10.1177/17456916221134490
  • Aggarwal, N., & Chandra, M. (2020). Applications of artificial intelligence in mental health: opportunities and limitations. Indian Journal of Psychiatry, 62(3), 222–227. DOI: https://doi.org/10.4103/psychiatry.IndianJPsychiatry_682_19
  • Safdar B, Mr. M., & Mr. Pandiarajan S. (2025). Early Detection and Intervention for Children's Mental Health Issues Using Machine Learning. In International Journal of Preventive Medicine and Health (Vol. 5, Issue 2, pp. 14–16). DOI: https://doi.org/10.54105/ijpmh.b1049.05020125
  • Gupta, D., Markale, A., & Kulkarni, R. (2021). Mental Health Quantifier. In International Journal of Engineering and Advanced Technology (Vol. 10, Issue 5, pp. 187–190). DOI: https://doi.org/10.35940/ijeat.e2694.0610521
  • Dahlan Abdul Ghani, Nur Adila Binti Muhd Affendy, Mental Health: Promoting Awareness Through 3D Animated Short Film. (2019). In International Journal of Innovative Technology and Exploring Engineering (Vol. 8, Issue 11S2, pp. 219–229). DOI: https://doi.org/10.35940/ijitee.k1034.09811s219
  • Malvika Singh, Kaveri Devi Mishra, Applications of Virtual Reality in Mental Health. (2019). In International Journal of Recent Technology and Engineering (Vol. 8, Issue 2S11, pp. 3735–3739). DOI: https://doi.org/10.35940/ijrte.b1481.0982s1119
  • Shala, M., & Çollaku, P. J. (2022). Coping Strategies, Anxiety and Mental Health Among Female Undergraduate Students in Kosova. In International Journal of Management and Humanities (Vol. 8, Issue 9, pp. 19–24). DOI: https://doi.org/10.35940/ijmh.i1488.058922