手术中的人工智能:通过文献计量学和文本挖掘奥德赛了解发展趋势和管理意义。

IF 1.2 4区 医学 Q3 SURGERY Surgical Innovation Pub Date : 2024-12-01 Epub Date: 2024-10-04 DOI:10.1177/15533506241289481
Minh-Hieu Le, Thu-Thao Le, Phung Phi Tran
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引用次数: 0

摘要

背景:本研究利用文献计量学和文本挖掘分析来探讨人工智能(AI)在外科手术中的应用。人工智能在医疗保健领域的重要性日益凸显,医疗保健管理者需要优先考虑对这项技术的投资。目的:通过对科学文献的全面分析,评估人工智能对外科手术实践日益增加的影响,提供可指导管理决策采用人工智能解决方案的见解:本研究分析了自 1990 年以来发表的 6000 多篇科学文章,以评估该领域的趋势和贡献,让管理者了解人工智能在外科手术中的现状:研究样本:本研究重点关注北美、北亚、东欧和西欧有影响力的出版商发表的出版物,突出了人工智能在外科领域应用的主要市场:数据收集与分析:采用文献计量学方法确定主要撰稿人和有影响力的期刊。同时,文本挖掘技术突出了与手术中的人工智能相关的重要关键词,帮助管理者认识到需要进一步探索和投资的重要领域:结果:2022 年发表的论文数量大幅增加,表明人工智能广泛融入医疗保健领域。美国的贡献最大,其次是中国、英国、德国、意大利、荷兰和印度。外科年鉴》和《脊柱杂志》等重要期刊在传播研究成果方面发挥了关键作用,是管理人员了解信息的宝贵资源:研究结果强调了人工智能在提高诊断精确度、预测治疗结果和提高外科手术操作效率方面的关键作用。这一进展是现代医学的一个重要里程碑,为智能医疗解决方案和该领域的进一步发展铺平了道路。医疗保健管理者应利用这些见解促进创新,提高患者护理标准。
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AI in Surgery: Navigating Trends and Managerial Implications Through Bibliometric and Text Mining Odyssey.

Background: This research employs bibliometric and text-mining analysis to explore artificial intelligence (AI) advancements within surgical procedures. The growing significance of AI in healthcare underscores the need for healthcare managers to prioritize investments in this technology. Purpose: To assess the increasing impact of AI on surgical practices through a comprehensive analysis of scientific literature, providing insights that can guide managerial decision-making in adopting AI solutions.Research Design: The study analyzes over 6000 scientific articles published since 1990 to evaluate trends and contributions in the field, informing managers about the current landscape of AI in surgery.Study Sample: The research focuses on publications from various influential publishers across North America, Northern Asia, and Eastern & Western Europe, highlighting key markets for AI implementation in surgical settings.Data Collection and Analysis: A bibliometric approach was utilized to identify key contributors and influential journals. At the same time, text-mining techniques highlighted significant keywords related to AI in surgery, aiding managers in recognizing essential areas for further exploration and investment.Results: The year 2022 marked a significant upsurge in publications, indicating widespread AI integration in healthcare. The U.S. emerged as the foremost contributor, followed by China, the UK, Germany, Italy, the Netherlands, and India. Key journals, such as Annals of Surgery and Spine Journal, play a crucial role in disseminating research findings, serving as valuable resources for managers seeking to stay informed.Conclusions: The findings underscore AI's pivotal role in enhancing diagnostic precision, predicting treatment outcomes, and improving operational efficiency in surgical practices. This progress represents a significant milestone in modern medical science, paving the way for intelligent healthcare solutions and further advancements in the field. Healthcare managers should leverage these insights to foster innovation and improve patient care standards.

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来源期刊
Surgical Innovation
Surgical Innovation 医学-外科
CiteScore
2.90
自引率
0.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).
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