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SYSTEMATIC REVIEW article
Front. Med.
Sec. Family Medicine and Primary Care
Volume 11 - 2024 |
doi: 10.3389/fmed.2024.1505692
This article is part of the Research Topic Artificial Intelligence and Big Data for Value-Based Care - Volume III View all 5 articles
Evolution of artificial intelligence in healthcare: a 30-Year bibliometric study
Provisionally accepted- 1 Yangjiang Bainian Yanshen Medical Technology Co., LTD, Yangjiang, China
- 2 The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
Introduction: In recent years, the development of artificial intelligence (AI) technologies, including machine learning, deep learning, and large language models, has significantly supported clinical work. Concurrently, the integration of artificial intelligence with the medical field has garnered increasing attention from medical experts. This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence. Methods: Following a search on the Web of Science, researchers retrieved all reviews and original articles concerning artificial intelligence in healthcare published between January 1993 and December 2023. The analysis employed Bibliometrix, Biblioshiny, and Microsoft Excel, incorporating the bibliometrix R package for data mining and analysis, and visualized the observed trends in bibliometrics. Results: A total of 22,950 documents were collected in this study. From 1993 to 2023, there was a discernible upward trajectory in scientific output within bibliometrics. The United States and China emerged as primary contributors to medical artificial intelligence research, with Harvard University leading in publication volume among institutions. Notably, the rapid expansion of emerging topics such as COVID-19 and new drug discovery in recent years is noteworthy. Furthermore, the top five most cited papers in 2023 were all pertinent to the theme of ChatGPT. Conclusion: This study reveals a sustained explosive growth trend in AI technologies within the healthcare sector in recent years, with increasingly profound applications in medicine. Additionally, medical artificial intelligence research is dynamically evolving with the advent of new technologies. Moving forward, concerted efforts to bolster international collaboration and enhance comprehension and utilization of AI technologies are imperative for fostering novel innovations in healthcare.
Keywords: artificial intelligence, Health Care, Medicine, ChatGPT, Bibliometric Study
Received: 03 Oct 2024; Accepted: 31 Dec 2024.
Copyright: © 2024 Xie, Zhai and Lu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Guihua Lu, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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