The Current Research Landscape on the Artificial Intelligence Application in the Management of Depressive Disorders: A Bibliometric Analysis

Abstract

Artificial intelligence (AI)-based techniques have been widely applied in depression research and treatment. Nonetheless, there is currently no systematic review or bibliometric analysis in the medical literature about the applications of AI in depression. We performed a bibliometric analysis of the current research landscape, which objectively evaluates the productivity of global researchers or institutions in this field, along with exploratory factor analysis (EFA) and latent dirichlet allocation (LDA). From 2010 onwards, the total number of papers and citations on using AI to manage depressive disorder have risen considerably. In terms of global AI research network, researchers from the United States were the major contributors to this field. Exploratory factor analysis showed that the most well-studied application of AI was the utilization of machine learning to identify clinical characteristics in depression, which accounted for more than 60% of all publications. Latent dirichlet allocation identified specific research themes, which include diagnosis accuracy, structural imaging techniques, gene testing, drug development, pattern recognition, and electroencephalography (EEG)-based diagnosis. Although the rapid development and widespread use of AI provide various benefits for both health providers and patients, interventions to enhance privacy and confidentiality issues are still limited and require further research.

What Does Personality Mean in the Context of Mental Health? A Topic Modeling Approach Based on Abstracts Published in Pubmed Over the Last 5 Years

“…This study has the following limitations. This study did not include exploratory factor analysis (54), global network analysis (55), and number of papers by countries (56)(57)(58)(59)(60) as reported in other studies of LDA (61)(62)(63)(64).…”

A Scientometric Study on Depression among University Students in East Asia: Research and System Insufficiencies?

“…The search was restricted to peer-reviewed papers written in English in the Web of Science Core Collection. In other bibliometrics and scientometrics studies regarding depression [10][11][12], the term "depression" is most commonly selected as a keyword to identify studies related to depression. Given that depression is also called depressive disorder and mood disorder [20], we selected "depression", "depressive disorder", and "mood disorder" as our keywords in this study.…”

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