To conduct a bibliometric analysis of WoSCC-indexed literature on Generative Artificial Intelligence (GenAI) in depression from 2023 to 2025, summarizing publication trends, geographical and institutional contributions, collaborative networks, co-citation structures, and thematic hotspots.
Key Findings:
Depression affects over 280 million people globally and has seen a rise in prevalence, exacerbated by the COVID-19 pandemic.
Traditional AI approaches in mental health focused on detection and diagnosis, while GenAI offers dynamic, interactive responses.
The first wave of WoSCC-indexed publications on GenAI applications in depression emerged in 2023 following the release of ChatGPT.
Interpretation:
Limitations:
Bibliometric indicators may favor publications with accumulated citation impact, potentially underrepresenting recent studies.
The analysis does not include qualitative feasibility studies or clinical trials from PubMed in the quantitative bibliometric network analyses.
