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Mapping How Artificial Intelligence Blends with Healthcare: Insights from a Bibliometric Analysis

Resumen

The integration of artificial intelligence (AI) into medical practice has become a critical focus in contemporary medical research. This bibliometric analysis examined the scope of AI utilization across the healthcare spectrum by analyzing a significant body of publications from the Scopus and PubMed databases. After removing duplicates and reviews, a total of 2061 articles were assessed using VOSviewer software (version 1.6.20). The results were organized into two main sections: influential factors and thematic directions of AI integration in healthcare. The first section highlights the most productive countries, authors, and institutions in terms of publications. The second section explores the keywords used in the relevant literature, and identifies the main thematic areas where AI has a significant impact in medical sector. The findings of this study aimed not only to assess AI’s current contributions to medicine in general but also to highlight specific technological advancements across medical departments, offering a comprehensive overview.
Jiang, Wenshuo (59129847200); Zhao, Zhigang (57190214291)
Trends in research on AI-aided drug discovery from 2009 to 2023: A 15-year bibliometric analysis
2025
10.1016/j.ipha.2024.09.001
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212061111&doi=10.1016%2fj.ipha.2024.09.001&partnerID=40&md5=b3447fcfd17488160d15f721ea76776d
Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, China
All Open Access; Hybrid Gold Open Access
Scopus
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