Work

A bibliometric analysis of artificial intelligence in medical education (2015–2025)

Year: 2025

Type: article

Abstract: BACKGROUND: The rapid development of artificial intelligence (AI) technology is profoundly reshaping the medical education model. However, to date, there has been no bibliometric study specifically focusing on AI and medical education. METHODS: We retrieved 918 records from the Web of Science™ Core Collection. Using CiteSpace and VOSviewer, we conducted a scientometric analysis of these records, including temporal and spatial distribution, author distribution, references, journals, and keywords. RESULTS: The analysis provides foundational information about this research domain, revealing a remarkable growth in scholarly interest over the past decade. Current research hotspots primarily focus on the application of large language models and virtual reality technologies in medical education. CONCLUSION: This study provides essential information for interested researchers. We hope this work will offer new perspectives for advancing the development of AI in medical education.

Source: Medicine

DOI: 10.1097/md.0000000000045684

Authors: Wendan Cheng, Zhongyao Hu, Haoran Yu

Institutions: Anhui Medical University, Second Affiliated Hospital of Anhui Medical University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,950