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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.
Bian, Jinhu (43561035200); Zhao, Jinping (59501798600); Li, Ainong (14519510100)
Remote sensing monitoring of mountain sustainable development goals (SDG15.4): a systematic review
2025
10.1080/17538947.2024.2448216
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214201301&doi=10.1080%2f17538947.2024.2448216&partnerID=40&md5=2c670cf16564de87238b2feaebb01c1e
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; University of Chinese Academy of Sciences, Beijing, China; Wanglang Mountain Remote Sensing Observation and Research Station of Sichuan Province, Mianyang, China
All Open Access; Gold Open Access
Scopus
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