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心血管手术中的人工智能：一项文献计量与可视化分析研究。

Artificial intelligence in cardiovascular procedures: a bibliometric and visual analysis study.

作者信息

Gadhachanda Koushik Rao, Marsool Marsool Mohammed Dheyaa, Bozorgi Ali, Ameen Daniyal, Nayak Sandeep Samethadka, Nasrollahizadeh Amir, Alotaibi Abdulhadi, Farzaei Alireza, Keivanlou Mohammad-Hossein, Hassanipour Soheil, Amini-Salehi Ehsan, Jonnalagadda Anil Kumar

机构信息

Boston University Biology, Boston, Massachusetts, USA.

Department of Internal Medicine, Al-Kindy College of Medicine, University of Baghdad, Baghdad, Iraq.

出版信息

Ann Med Surg (Lond). 2025 Feb 28;87(4):2187-2203. doi: 10.1097/MS9.0000000000003112. eCollection 2025 Apr.

DOI:10.1097/MS9.0000000000003112
PMID:40212154
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11981337/
Abstract

BACKGROUND

The integration of artificial intelligence (AI) into cardiovascular procedures has significantly advanced diagnostic accuracy, outcome prediction, and robotic-assisted surgeries. However, a comprehensive bibliometric analysis of AI's impact in this field is lacking. This study examines research trends, key contributors, and emerging themes in AI-driven cardiovascular interventions.

METHODS

We retrieved relevant publications from the Web of Science Core Collection and analyzed them using VOSviewer, CiteSpace, and Biblioshiny to map research trends and collaborations.

RESULTS

AI-related cardiovascular research has grown substantially from 1993 to 2024, with a sharp increase from 2020 to 2023, peaking at 93 publications in 2023. The USA (127 papers), China (79), and England (31) were the top contributors, with Harvard University leading institutional output (17 papers). was the most prolific journal. Core research themes included "machine learning," "mortality," and "cardiac surgery," with emerging trends in "association," "implantation," and "aortic stenosis," underscoring AI's expanding role in predictive modeling and surgical outcomes.

CONCLUSION

AI demonstrates transformative potential in cardiovascular procedures, particularly in diagnostic imaging, predictive modeling, and patient management. This bibliometric analysis highlights the growing interest in AI applications and provides a framework for integrating AI into clinical workflows to enhance diagnostic accuracy, treatment strategies, and patient outcomes.

摘要

背景

将人工智能（AI）整合到心血管手术中显著提高了诊断准确性、结果预测能力以及机器人辅助手术水平。然而，目前缺乏对人工智能在该领域影响的全面文献计量分析。本研究考察了人工智能驱动的心血管干预措施的研究趋势、主要贡献者和新兴主题。

方法

我们从科学网核心合集检索了相关出版物，并使用VOSviewer、CiteSpace和Biblioshiny对其进行分析，以绘制研究趋势和合作关系图。

结果

从1993年到2024年，与人工智能相关的心血管研究大幅增长，2020年到2023年增长迅猛，2023年达到顶峰，有93篇出版物。美国（127篇论文）、中国（79篇）和英国（31篇）是主要贡献国，哈佛大学在机构产出方面领先（17篇论文）。 是发表论文最多的期刊。核心研究主题包括“机器学习”“死亡率”和“心脏手术”，“关联”“植入”和“主动脉狭窄”等出现了新趋势，这凸显了人工智能在预测建模和手术结果方面的作用不断扩大。

结论

人工智能在心血管手术中展现出变革潜力，尤其是在诊断成像、预测建模和患者管理方面。这项文献计量分析突出了对人工智能应用的兴趣日益浓厚，并为将人工智能整合到临床工作流程中以提高诊断准确性、治疗策略和患者预后提供了一个框架。

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