人工智能 (AI) 在瘤学中的应用的发展趋势和知识框架,按年份:从1992年到2022年的文献分析
1Department of Medical Informatics, Faculty of Medicine, Baskent University, Taşkent Caddesi (Eski 1. Cadde) 77. Sokak (Eski 16. Sokak) No:11, 06490, Bahçelievler, Ankara, Turkey. muratkocak25@gmail.com.
瘤学中的人工智能 (AI) 正在快速增长,大多数研究重点是生物学,诊断和治疗. 这种图书统计分析揭示了关键趋势和热点,为未来的研究和政策提供了洞察力.
科学领域:
- 在瘤学瘤学.
- 人工智能 (AI) 是一种人工智能.
- 图书统计学 图书统计学
背景情况:
- 瘤学是人工智能 (AI) 采用的领先医学领域.
- 了解AI在瘤学的研究环境对于未来的进展至关重要.
- 图书计量分析提供了科学出版物的定量概述.
研究的目的:
- 调查AI在瘤学研究中的趋势和文献特征.
- 从1992年到2022年,确定研究热点和人工智能在瘤学中的应用现状.
主要方法:
- 通过使用Bibliometrix R Package,VOSviewer和Litmaps,采用了一个科学计量方法.
- 数据从科学网络 (WoS) 和InCites数据库中获取.
- 分析了1992年至2022年的出版物.
主要成果:
- 分析了由35,098名作者撰写的7,815篇文章,这些文章发表在1,492个期刊上.
- 关键的研究热点包括机器学习,深度学习,放射学,乳腺癌,黑色素瘤和人工智能.
- 2015年以后,出版物数量显著增加,其中大部分来自发达国家.
结论:
- 在瘤学中,特别是基因组学,蛋白质组学和临床组学中,人工智能应用处于早期阶段.
- 研究广泛涵盖了AI在癌症生物学,诊断,治疗和风险评估中的作用.
- 这些发现为研究人员和决策者在瘤学中导航人工智能方面提供了宝贵的视角.
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