Utilizing Chatbots as Predictive Tools for Anxiety and Depression: A Bibliometric Review

This article addresses the impact of the implementation of medical chatbots as a tool to predict mental health disorders on society, focusing on the high prevalence of depression and anxiety worldwide. The promising potential of AI and psychological software agents, such as chatbots, to improve psychological well-being in the digital environment is highlighted. In order to analyze the scientific production related to the use of virtual assistants in the prediction of anxiety and depression, a comprehensive bibliometric review was conducted using the Scopus database. Subsequently, the study reveals the growing interest in medical chatbot development and research, notably from Australia, China, and the United States, which have made significant contributions. It identifies influential articles, authors, and journals that have significantly shaped this research domain. The analysis also underscores recurring keywords, with “depression” and “anxiety” emerging as central themes. This underscores their paramount importance in chatbot-based mental health prediction efforts and their potential to address these widespread mental health challenges. In conclusion, this article emphasizes chatbots’ promising role in enhancing mental well-being through accessible, personalized support. While acknowledging inherent study limitations, it also points to prospective research directions. As technological advancements persist, chatbots are poised to play a pivotal role in promoting better global mental health outcomes.