Artificial intelligence as a therapeutic support tool in mental health: Latin American oerspective. Systematic review
Keywords:
Artificial Intelligence, Mental Health, Machine Learning, Systems Engineering, Latin AmericaAbstract
This study presents a systematic review on the use of Artificial Intelligence (AI) in mental health treatment, with emphasis on Latin America. The most frequently applied AI methods and models are analyzed, including natural language processing, machine learning, and deep neural networks, used for detection, monitoring, and therapeutic support of disorders such as anxiety, depression, and schizophrenia. In addition, the main technological architectures, ethical challenges, and the absence of regional regulatory frameworks are examined. The findings aim to identify technological development opportunities applicable from systems engineering, oriented toward improving accessibility, effectiveness, and equity in mental health care. The study concludes with the need to foster interdisciplinary research and regulatory frameworks that promote the responsible integration of AI in this field.
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Alowais, S., Alghamdi, S., et al. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23. Recuperado de: https://doi.org/10.1186/s12909-023-04698-z
Aracena, C, et al, (2022). Aplicaciones de aprendizaje automático en salud. Recuperado de: https://doi.org/10.1016/j.rmclc.2022.10.001
Benita, J., Jaswanth, S., et al. (2025). Phoenix: A Conversational Agent for Emotional Well-Being and Psychological Support. 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI), 1137-1142. Recuperado de: https://doi.org/10.1109/ICMSCI62561.2025.10894579
Campos, F. (2025). ¿Puede la IA cuidar tu salud mental? Beneficios, riesgos y recomendaciones. Top Doctors. Recuperado de: https://www.topdoctors.cl/articulos-medicos/puede-la-ia-cuidar-tu-salud-mental-beneficios-riesgos-y-recomendaciones/
Cecil, J., Kleine, A., et al. (2025). Mental health practitioners’ perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study. BMC Health Services Research, 25. Recuperado de: https://doi.org/10.1186/s12913-025-12715-8
Chisholm, Dan et al. (2016). Scaling-up treatment of depression and anxiety: a global return on investment analysis. Recuperado de: https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(16)30024-4/fulltext
Cross, S., Bell, I., et al. (2024). Use of AI in Mental Health Care: Community and Mental Health Professionals Survey. JMIR Mental Health, 11. Recuperado de: https://doi.org/10.2196/60589
Cruz-González, P., He, A., et al. (2025). Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications. Psychological Medicine, 55(e18), 1–52. Recuperado de: https://doi.org/10.1017/S0033291724003295
El País (2025), Razones para invertir en salud mental en América Latina. Recuperado de: https://elpais.com/america/termometro-social/2025-06-13/razones-para-invertir-en-salud-mental-en-america-latina.html
Eraso, I. (2024). Estado de la regulación colombiana a los sistemas de Gestión de Inteligencia Artificial y su aplicación en las organizaciones y entidades prestadoras de salud, considerando el Reglamento (UE) 2024/1689 del Parlamento Europeo y del Consejo. Trabajo Fin de Máster, Universidad Europea. Recuperado de: https://titula.universidadeuropea.com/bitstream/handle/20.500.12880/10985/TFM%20Isabella%20Eraso.pdf?isAllowed=y&sequence=1
Gómez-Restrepo, C., et al. (2020). Autorreconocimiento de trastornos y problemas mentales por la población adulta en la Encuesta Nacional de Salud Mental en Colombia. Revista Colombiana de Psiquiatría. Recuperado de: https://doi.org/10.1016/j.rcp.2019.09.004
Gonzalez, L., (2016). Factores que determinan el acceso a servicios de salud mental de la población adulta en Colombia. Recuperado de: https://www.elsevier.es/es-revista-revista-colombiana-psiquiatria-379-articulo-factores-que-determinan-el-acceso-S0034745016301172
Gutiérrez, G., Stephenson, et al. (2024). Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review. Frontiers in Psychiatry, 15. Recuperado de: https://doi.org/10.3389/fpsyt.2024.1356773
Hoose, S., & Kristína, K. (2024). Artificial Intelligence in Mental Health Care: Management Implications, Ethical Challenges, and Policy Considerations. Administrative Sciences, 14(9), 227. Recuperado de: https://doi.org/10.3390/admsci14090227
Inkster, B., Sarda, S., et al. (2018). An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. Recuperado de: https://doi.org/10.2196/12106
IntraMed, (2025). La deuda pendiente: salud mental en América Latina. Recuperado de: https://www.intramed.net/content/la-deuda-pendiente-salud-mental-en-america-latina
Kasaudhan, K. (2025). AI-Driven Tools for Detecting and Monitoring Mental Health Conditions Though Behaviour Patterns. International Journal of Preventive Medicine and Health. Recuperado de: https://doi.org/10.54105/ijpmh.b1054.05030325
Katsina, A. (2024). Exploring digital therapeutics for mental health: AI-driven innovations in personalized treatment approaches. World Journal of Advanced Research and Reviews. Recuperado de: https://doi.org/10.30574/wjarr.2024.24.3.3997
Kibibi, M. (2024). The Role of AI in Improving Mental Health Care. Research Invention Journal of Public Health and Pharmacy. Recuperado de: https://doi.org/10.59298/rijpp/2024/321013
Kolding, S, et al, (2025). Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review. Acta Neuropsychiatrica. 37(e37), 1–14. Recuperado de: doi: 10.1017/neu.2024.50
MyPsi. (2025). MyPsi IA: cuando la inteligencia artificial puede ayudar a la salud mental. Recuperado de: https://app.mypsi.cl/2025/04/14/mypsi-i-a-cuando-la-inteligencia-artificial-puede-ayudar-a-la-salud-mental/
OPS (2025), Una gran tormenta acecha en el horizonte: las ENT y los problemas de salud mental costarán billones a Sudamérica para 2050. Recuperado de: https://www.paho.org/es/noticias/15-7-2025-gran-tormenta-acecha-horizonte-ent-problemas-salud-mental-costaran-billones
Pavlopoulos, A., Rachiotis, T., et al. (2024). An Overview of Tools and Technologies for Anxiety and Depression Management Using AI. Applied Sciences. Recuperado de: https://doi.org/10.3390/app14199068
Prochaska, J., Vogel, E., et al. (2021). A Therapeutic Relational Agent for Reducing Problematic Substance Use (Woebot): Development and Usability Study. Journal of Medical Internet Research, 23. Recuperado de: https://doi.org/10.2196/24850.
Procuraduría General de la Nación (PGN), (2023). Suicidio disparado en Colombia por cuenta de trastornos mentales: Procuraduría. Recuperado de: https://www.procuraduria.gov.co/Pages/suicidio-disparado-colombia-cuenta-trastornos-mentales-procuraduria.aspx#:~:text=%E2%80%9CAunado%20a%20lo%20anterior%2C%20nos,su%20bienestar%20emocional%20y%20psicol%C3%B3gico.
Programa de las Naciones para el Desarrollo (PNUD), (2025). Fuertes por fuera, luchando por dentro: El deterioro de la salud mental en América Latina y el Caribe. Recuperado de: https://www.undp.org/es/latin-america/blog/fuertes-por-fuera-luchando-por-dentro-el-deterioro-de-la-salud-mental-en-america-latina-y-el-caribe#:~:text=Puede%20afectar%20el%20desarrollo%20desde,2025%2C%20pr%C3%B3ximo%20a%20ser%20publicado
Spytska, L. (2025). The use of artificial intelligence in psychotherapy: development of intelligent therapeutic systems. BMC Psychology, 13, 175. Recuperado de: https://doi.org/10.1186/s40359-025-02491-9
Tornero-Costa, R., Martínez-Millana, A., et al. (2023). Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review. JMIR Mental Health, 10. Recuperado de: https://doi.org/10.2196/42045
Torous, J., & Blease, C. (2024). Generative artificial intelligence in mental health care: potential benefits and current challenges. World Psychiatry, 23. Recuperado de: https://doi.org/10.1002/wps.21148
Vera, F., & Rodríguez-Flórez, P. (2025). Modelos Educativos en Universidades Latinoamericanas: Implicaciones para la Innovación Pedagógica. Transformar, 6(3), 39–53. Recuperado de: https://revistatransformar.cl/index.php/transformar/article/view/184
Vielma-Aguilera, A., Castro-Alzate E., (2021). "Interventions to Reduce Stigma Toward People with Severe Mental Disorders in Ibero-America: A Systematic Review". Recuperado de: https://doi.org/10.12804/revistas.urosario.edu.co/revsalud/a.10054
Zhang, Z., & Wang, J. (2024). Can AI replace psychotherapists? Exploring the future of mental health care. Frontiers in Psychiatry, 15. Recuperado de: https://doi.org/10.3389/fpsyt.2024.1444382
Zhong, W., et al. (2024). The therapeutic effectiveness of AI-based chatbots in alleviation of depressive and anxiety symptoms: a systematic review and meta-analysis. Journal of Affective Disorders. Recuperado de: https://doi.org/10.1016/j.jad.2024.05.077









