Effectiveness of Chatbots for Depression in Adults: A Systematic Review
DOI:
https://doi.org/10.53877/rc10.21-606Keywords:
depression, artificial intelligence, generative artificial intelligence, depressive disorderAbstract
In recent years, technology has driven the development of digital tools for mental health, such as chatbots, which have emerged as an alternative for providing accessible and adaptable psychological interventions. Considering this, the present research aims to establish the effectiveness of chatbots in reducing depressive symptoms in adults through a systematic review of 10 articles published between 2020 and 2025, whose full versions were available in Spanish or English. These articles were searched in databases such as PubMed, SciELO, and Web of Science. A detailed protocol, written according to the PRISMA guidelines (Preferred Reporting Elements for Systematic Reviews and Meta-Analyses), was established for a thorough analysis. The results suggest that the use of chatbots has the capacity to alleviate depressive symptoms in adults. Furthermore, they function effectively as a complement to other conventional methods, improving adherence to psychological treatment. These findings are consistent with previous research that has demonstrated the effectiveness of digital interventions for depression. Therefore, it is considered that future research can improve the ability to treat serious mental disorders and find strategies that increase their accessibility to more people who, due to various circumstances, do not receive adequate treatment.
Downloads
References
AbRahman, W. N. W., & Hamid, N. M. A. (2024). Rule-Based Chatbot for Early Self-Depression Indication: A Promising Approach. JOIV International Journal On Informatics Visualization, 8(3-2), 1625. https://doi.org/10.62527/joiv.8.3-2.1628
Agarwal, S. (2024). More people are turning to mental health AI chatbots.What could go wrong? Obtenido de National Geographic: https://www.nationalgeographic.com/science/article/ai-chatbots-treatment-mental-health
Ahmed, A. A.-A. (2021). A review of mobile chatbot apps for anxiety and depression and their self-care features. Computer Methods and Programs in Biomedicine Update, 1, 1-8. Article 100012., https://doi.org/10.1016/j.cmpbup.2021.100012.
Anmella, G. S.-T.-V.-R.-T. (2023). Vickybot, a Chatbot for Anxiety-Depressive Symptoms and Work-Related Burnout in Primary Care and Health Care Professionals: Development, Feasibility, and Potential Effectiveness Studies. Journal Of Medical Internet Research, 25, e43293. https://doi.org/10.2196/43293.
Balcombe, L. (2023). Obtenido de AI Chatbots in Digital Mental Health. Informatics,10(4), 82.: https://doi.org/10.3390/informatics10040082
Chin, S. H. (2023). The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study.
Cross, S. B.-J. (2024). Use of AI in Mental Health Care: Community and Mental Health Professionals Survey. Obtenido de JMIR Mental Health, 11, e60589. : doi: 10.2196/60589
Fitzpatrick, D. A. (2017). Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial. JMIR Ment Health. Obtenido de https://mental.jmir.org/2017/2/e19/
Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018). Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial. JMIR Mental Health, 5(4), e64. https://doi.org/10.2196/mental.9782
Haque, M. D. (2023). JMIR Mhealth And Uhealth, 11, e44838. Obtenido de An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews.: doi: 10.2196/44838
He, Y. Y. (2022). Mental Health Chatbot for Young Adults With Depressive Symptoms During the COVID-19 Pandemic: Single-Blind, Three-Arm Randomized Controlled Trial. Journal Of Medical Internet Research, 24(11), e40719. https://doi.org/10.2196/40719.
Heinz, M. V., Mackin, D., Trudeau, B., Bhattacharya, S., Wang, Y., Banta, H. A., Jewett, A. D., Salzhauer, A., Griffin, T., & Jacobson, N. C. (2024). Evaluating Therabot: A Randomized Control Trial Investigating the Feasibility and Effectiveness of a Generative AI Therapy Chatbot for Depression, Anxiety, and Eating Disorder Symptom Treatment. OSF. https://doi.org/10.31234/osf.io/pjqmr
Hester, R. D. (2017). Lack of access to mental health services contributing to the high suicide rates among veterans. Obtenido de International Journal Of Mental Health Systems, 11(1), 47.: DOI: 10.1186/s13033-017-0154-2
Hill, J. F. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Obtenido de Computers In Human Behavior, 49, 245-250. : https://doi.org/10.1016/j.chb.2015.02.026
IMB. (2025). International Business Machines. Obtenido de https://www.ibm.com/es-es/think/topics/chatbots
INEC. (2019). Instituto Nacional de Estadísticas y Censos. Obtenido de https://www.ecuadorencifras.gob.ec/camas-y-egresos-hospitalarios-2019
Karkosz, S., Szymański, R., Sanna, K., & Michałowski, J. (2023). Effectiveness of a Web-based and Mobile Therapy Chatbot on Anxiety and Depressive Symptoms in Subclinical Young Adults: Randomized Controlled Trial. JMIR Formative Research, 8, e47960. https://doi.org/10.2196/47960
Khan, R. y. (2017). Build Better Chatbots: A Complete Guide to Getting Started with Chatbots. (1st ed.). NewYork: Apress.
Lee, Y. Y. (2020). Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health Professional. Obtenido de Proceedings Of The ACM On Human-Computer Interaction, 4(CSCW1), 1-27: https://doi.org/10.1145/3392836
Liu, H. P. (2022). Using AI chatbots to provide self-help depression interventions for university students: A randomized trial of effectiveness. Internet Interventions, 27, 100495. https://doi.org/10.1016/j.invent.2022.100495.
Olawade, W. 0.-O. (2024). Enhancing mental health with Artificial Intelligence: Current trends and future prospects. Journal of Medicine, Surgery, and Public Health.
Omarov, B. N. (2022). Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review. Computers, Materials & Continua/Computers, Materials & Continua (Print), 74(3), 5105-5122. https://doi.org/10.32604/cmc.2023.034655.
OMS. (2025). Organización Mundial de la Salud. Obtenido de https://www.who.int/es/news-room/fact-sheets/detail/depr
Reyes-Portillo, J. A., So, A., McAlister, K., Nicodemus, C., Golden, A., Jacobson, C., & Huberty, J. (2025). Generative AI–Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial. JMIR Formative Research, 9, e71923. https://doi.org/10.2196/71923
Romero, M. C. (2019). CÓMO CONSTRUIR UN PSICÓLOGO-CHATBOT. Papeles del Psicólogo - Psychologist Papers, 41(1). https://doi.org/10.23923/pap.psicol2020.2920.
Shawar, B. A. (2005). Using corpora in machine-learning chatbot systems. . Obtenido de International Journal Of Corpus Linguistics, 10(4), 489-516.: https://doi.org/10.1075/ijcl.10.4.06sha
Tabares, M. T. (2024). Can Chatbots Alleviate Depression? Results of a Systematic Review. Advances In Artificial Intelligence And Machine Learning, 04(03), 2665-2686. DOI:10.54364/AAIML.2024.43155.
Wallace, R. S. (2009). The anatomy of ALICE. En R. Epstein,G. Roberts y G Beber (Eds.), Parsing the Turing Test (pp.181-210). Springer, Dordrecht.
Wang, Y., Li, X., Zhang, Q., Yeung, D., & Wu, Y. (2025). Effect of a Cognitive Behavioral Therapy–Based AI Chatbot on Depression and Loneliness in Chinese University Students: Randomized Controlled Trial With Financial Stress Moderation. JMIR Mhealth And Uhealth, 13, e63806. https://doi.org/10.2196/63806
Yasukawa, S., Tanaka, T., Yamane, K., Kano, R., Sakata, M., Noma, H., Furukawa, T. A., & Kishimoto, T. (2024). A chatbot to improve adherence to internet-based cognitive–behavioural therapy among workers with subthreshold depression: a randomised controlled trial. BMJ Mental Health, 27(1), e300881. https://doi.org/10.1136/bmjment-2023-300881
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Evelyn Monserrath Molina Castellano, José Miguel Ocaña

This work is licensed under a Creative Commons Attribution 4.0 International License.
Los derechos del trabajo pertenecen al autor o autores, sin embargo, al enviarlo a publicación en la Revista Retos de la Ciencia, le otorgan el derecho para su primera publicación en medio electrónico, y posiblemente, en medio impreso a la Revista Retos de la Ciencia. La licencia que se utiliza es la de atribución de Creative Commons , que permite a terceros utilizar lo publicado siempre que se mencione la autoría del trabajo y a la primera publicación que es en la Revista Retos de la Ciencia. Asimismo, el o los autores tendrán en cuenta que no estará permitido enviar la publicación a ninguna otra revista, sin importar el formato. Los autores estarán en posibilidad de realizar otros acuerdos contractuales independientes y adicionales para la distribución no exclusiva de la versión del artículo publicado en la Revista Retos de la Ciencia (p. ej., repositorio institucional o publicación en un libro) siempre que indiquen claramente que el trabajo se publicó por primera vez en la Revista Retos de la Ciencia.




