人工智能在外科领域中的应用前景：可视化分析
Application Prospect of Artificial Intelligence in the Field of Surgery: Visual Analysis
DOI: 10.12677/ACM.2024.142575, PDF,    科研立项经费支持
作者: 徐 婧, 黎飞彤：右江民族医学院研究生学院，广西 百色；广西医学科学院，广西壮族自治区人民医院结直肠肛门外科，广西 南宁 ；宋 蕊：广西医科大学附属肿瘤医院肝胆外科修整，广西 南宁 ；王 帅：广西医学科学院，广西壮族自治区人民医院结直肠肛门外科，广西 南宁 ；庞黎明*：中山大学附属第一医院广西医院普通外科，广西 南宁
关键词: 人工智能；外科；深度学习；机器学习；可视化分析；Artificial Intelligence； Surgery； Deep Learning； Machine Learning； Visual Analysis
摘要: 背景和目的：近年来，人工智能(AI)技术的快速发展为外科的诊断和治疗创造了新的机遇。大量学术和临床研究表明，基于人工智能技术的高水平辅助诊疗系统可以显著提高医疗数据的可读性，客观地为医生提供可靠、全面的参考，缩小医生之间的经验差距，帮助医生更好地治疗疾病，做出更准确的诊断决策。本研究利用文献计量技术，对外科领域人工智能相关文献进行可视化分析，总结该领域的现状和研究热点。方法：从Web of Science核心合集数据库中获取人工智能在外科研究领域的相关文献。利用VOSviewer软件对收录文献的论文数量、国家、机构、作者、期刊、被引文献、关键词等进行分析，生成可视化知识图谱。结果：本研究论文总数为1913篇。我们介绍了人工智能在外科领域研究的年度出版物和引用、最具生产力的国家/地区、最具影响力的学者、期刊和机构的合作以及研究重点和热点。结论：本研究系统总结了目前人工智能在外科领域的现状和趋势，为未来的研究奠定基础。
Abstract: Background and Objective: In recent years, the rapid development of artificial intelligence (AI) technology has created a new machine for surgical diagnosis and treatment. A large number of academic and clinical studies have shown that high-level auxiliary diagnosis and treatment systems based on artificial intelligence technology can significantly improve medical care. The readability of the data objectively provides a reliable and comprehensive reference for doctors, which can narrow the experience gap between doctors, and help doctors to design a better treatment and make more accurate diagnostic decisions. This study used bibliometric techniques to study artificial intelligence in the field of surgery. The relevant literature is visualized and analyzed, and the current situation and research hotspots in this field are summarized. Methods: Relevant literature on artificial intelligence in the field of surgical research was obtained from the Web of Science core collection database. Benefits VOSviewer software was used to analyze the number of papers, countries, institutions, authors, journals, cited literatures and keywords, so as to summarize and generate a visual knowledge map. Results: The total number of papers in this study was 1913. We present the annual publication and introduction of artificial intelligence in surgical research. The most productive countries/regions, the most influential scholars, journals and institutions, as well as research priorities and hot spots are presented. Conclusion: This study systematically summa-rizes the current status and trends of artificial intelligence in the field of surgery, and lays a foun-dation for future research.
文章引用：徐婧, 黎飞彤, 宋蕊, 王帅, 庞黎明. 人工智能在外科领域中的应用前景：可视化分析[J]. 临床医学进展, 2024, 14(2): 4151-4163. https://doi.org/10.12677/ACM.2024.142575

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