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人工智能技术在非酒精性脂肪肝疾病中的演变

Jiawen He¹, Yao Wu¹, Zhiyong Lin²

¹School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.

Frontiers in radiology

|October 2, 2025

概括

人工智能 (AI) 越来越多地用于非酒精性脂肪性肝病 (NAFLD) 诊断和治疗,深度学习和多式联络数据融合正在成为关键趋势. 这种图书统计分析绘制了AI的地图.

科学领域:

在非酒精性脂肪性肝病 (NAFLD) 中对人工智能应用的图书统计分析.
专注于确定研究趋势,关键领域,并提供对NAFLD研究中AI当前状态的客观见解.

背景情况:

非酒精性脂肪性肝病 (NAFLD) 的发病率在全球范围内不断上升,这给医疗保健带来了重大挑战.
人工智能 (AI) 为NAFLD诊断,治疗计划和预后评估提供了创新的方法.
目前关于NAFLD人工智能的研究是分散的,缺乏系统分析.

研究的目的:

在NAFLD中对AI应用进行文献计量分析.
确定研究趋势,关键领域,并提供对该领域的全面见解.
为未来的研究和人工智能在肝病医疗保健中的应用提供有价值的参考资料.

主要方法:

从2010年到2025年3月25日,使用Web of Science核心集合 (SCI-扩展,CCR-扩展) 的图书统计分析.
使用HistCite Pro 2.1进行历史演变和引用分析.
使用Scimago Graphica用于国家协作网络和VOSviewer/CiteSpace用于关键字共发生,协作网络和趋势分析.

主要成果:

来自60个国家的655篇论文发表,从2019年到2024年出版物激增 (83.8%).
美国和中国是主要的贡献者;科学报告和诊断是顶级期刊.
关键的研究集群包括非侵入性纤维化评估,基于成像的诊断 (MRI,CT,超声波),疾病进展预测和生物标志物查.
深度学习和多模式数据融合是当前的热点,基于MRI的AI显示了取代肝脏活检的潜力.

结论:

人工智能技术显示了NAFLD管理和风险预测的广泛前景,尽管存在数据标准化等挑战.
未来的研究应该优先考虑多式联运数据融合,临床翻译和实际应用价值.
这项研究为NAFLD开发和精准医学中的AI提供了景观概述和参考.

关键词:

人工智能的人工智能是人工智能.文献计量分析的分析肝脏病学肝脏病学肝脏疾病是一种肝脏疾病.与代谢功能障碍相关的脂肪性肝病.代谢相关的脂肪肝疾病非酒精性脂肪性肝病是非酒精性脂肪性肝病.

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