绘制人工智能在内脏病学中的科学格局:一个图书识别分析
Ekin Deniz Çatmabacak1, Ahmet Kerem Eren1, İrem Çetinkaya Valandova1
1Department of Endodontics, Trakya University, Edirne, Türkiye.
International endodontic journal
|January 30, 2026
概括
牙周内科的人工智能 (AI) 正在快速增长,专注于像深度学习这样的成像应用. 虽然产量正在增加,但方法的多样性和可解释的AI使用仍然有限.
科学领域:
- 牙周内科医院 牙周内科医院 牙周内科医院
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 在内牙科人工智能 (AI) 的图书统计分析.
- 在现场绘制AI研究的演变,结构和方法.
- 分析出版趋势,合作,主题和引用影响.
研究的目的:
- 系统地绘制内牙科人工智能研究的演变图.
- 分析人工智能研究的结构特征和方法概况.
- 了解出版趋势,协作网络,专题发展和引用影响.
主要方法:
- 从科学网,Scopus和PubMed (1990-2025) 的245篇文章进行了图书统计分析.
- 使用VOSviewer分析著作权,国家协作和关键字共发生网络.
- 回归分析用于评估影响引用数量的因素.
主要成果:
- 2020年以后人工智能牙周内科研究的快速增长,由深度学习成像驱动.
- 中国在出版物方面领先; 美国在引用影响力和协作中心性方面领先.
- 确定了六个主题集群,以放射性诊断为主;NLP和生成AI的出现.
结论:
- 牙周内科的AI是一个快速扩展的,以成像为中心的领域,产量不断增加.
- 报告指出,方法多样性有限,可解释AI的使用有限,报告准则不一致.
- 提供了对该领域的发展和当前研究格局的结构化概述.
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