Current trends and future artificial intelligence applications in transfusion medicine: a bibliometric analysis.

IF 2.1 4区医学 Q2 HEMATOLOGY

Expert Review of Hematology Pub Date : 2025-10-10 DOI:10.1080/17474086.2025.2570336

Tinghua Zhang, Youyuan Hu, Chengdong Tang, Chunyan Yang

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引用次数: 0

Abstract

Background: Artificial Intelligence (AI) is increasingly vital in transfusion medicine for enhancing service quality and efficiency. However, bibliometric studies in this area are scarce. This analysis maps current and emerging research trends.

Research design and methods: Publications from 1 January 2000 to 31 August 2025, were retrieved from the Web of Science Core Collection. VOSviewer, CiteSpace, and Excel were used to visualize contributions and trends across authors, institutions, journals, and countries.

Results: Among 159 publications, the U.S.A. China, and India led in output. The University of Colorado was the top institution, while Transfusion had the highest citations. Axel Hofmann was the most cited author. Keywords such as 'machine learning' and 'deep learning' highlight the rapid adoption of advanced AI technologies.

Conclusions: This study outlines current trends and emerging frontiers, offering valuable insights and guidance for future AI applications in transfusion medicine.

查看原文本刊更多论文

当前趋势和未来人工智能在输血医学中的应用：文献计量学分析。

背景：人工智能（AI）在输血医学中对提高服务质量和效率越来越重要。然而，这方面的文献计量学研究很少。该分析描绘了当前和新兴的研究趋势。研究设计和方法：2000年1月1日至2025年8月31日的出版物，检索自Web of Science Core Collection。使用VOSviewer、CiteSpace和Excel对作者、机构、期刊和国家的贡献和趋势进行可视化。结果：在159篇论文中，美国、中国和印度的论文产量居首位。科罗拉多大学（University of Colorado）排名第一，而《输血》（Transfusion）的引用次数最高。阿克塞尔·霍夫曼是被引用次数最多的作者。“机器学习”和“深度学习”等关键词突出了先进人工智能技术的快速采用。结论：本研究概述了当前趋势和新兴领域，为未来人工智能在输血医学中的应用提供了有价值的见解和指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Hematology HEMATOLOGY-

CiteScore

4.70

自引率

3.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Advanced molecular research techniques have transformed hematology in recent years. With improved understanding of hematologic diseases, we now have the opportunity to research and evaluate new biological therapies, new drugs and drug combinations, new treatment schedules and novel approaches including stem cell transplantation. We can also expect proteomics, molecular genetics and biomarker research to facilitate new diagnostic approaches and the identification of appropriate therapies. Further advances in our knowledge regarding the formation and function of blood cells and blood-forming tissues should ensue, and it will be a major challenge for hematologists to adopt these new paradigms and develop integrated strategies to define the best possible patient care. Expert Review of Hematology (1747-4086) puts these advances in context and explores how they will translate directly into clinical practice.