Emerging Trends and Insights: A Comprehensive Bibliometric Analysis of Artificial Intelligence Applications in Healthcare and Psychology

Abstract

Purpose: This study provides a comprehensive bibliometric analysis of advancements in Artificial Intelligence in Healthcare and Psychology (AIHCP), focusing on emerging trends and their implications for future research and practice. Given the rapid developments in AI technologies and their applications in these fields, a detailed examination of research patterns and thematic areas is critical. Design/Methodology/Approach: Using a two-stage filtering process, we analyzed 1,499 documents from 1960 to 2023, narrowing down to 1,362 documents published between 2013 and 2023, and further focusing on 11 publications from 2018–2023. Data were retrieved from the Scopus database, and analyses included frequency distribution by journals, authors, countries, and organizations, as well as network visualization of co-occurring keywords. Thematic clusters were identified using VOSviewer software, and text mining/mapping of abstracts was conducted for deeper insights. Findings: We identified seven thematic clusters, including AI technological capabilities, healthcare security, psychological interventions, and the role of chatbots and machine learning. Key findings reveal the evolving focus of research, highlighting opportunities for innovation and addressing existing challenges. These clusters provide a global overview of the trends and underline the potential of AI in transforming healthcare and psychology. Originality/Value: This study offers a unique perspective by combining bibliometric analysis with text mining to explore AIHCP trends comprehensively. The findings serve as a foundation for future research, emphasizing the integration of AI technologies into healthcare and psychology practices while addressing critical gaps and opportunities.