肺癌精密医学中的人工智能:一篇文献计量分析
Yuchai Wang1, Weilong Zhang1, Xiang Liu1
1Department of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan Province, China.
Digital health
|January 6, 2025
概括
人工智能 (AI) 正在改变肺癌研究. 这项研究分析了精准医学中的AI应用,强调了未来临床使用的查,诊断和治疗等关键领域.
科学领域:
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
背景情况:
- 人工智能 (AI) 越来越多地应用于肺癌的精密医学.
- 研究人员需要对肺癌研究中的AI进行全面概述.
- 这项研究重点关注这个领域越来越多的证据.
研究的目的:
- 在肺癌研究中提供人工智能应用的文献统计概述.
- 确定关键趋势,贡献国家和研究学科.
- 了解肺癌人工智能的知识结构和新兴主题.
主要方法:
- 来自Web of Science核心集合的出版物的图书统计分析.
- 使用CiteSpace和VOSviewer进行数据分析.
- 关键词同时出现和共同引用的集群分析.
主要成果:
- 分析了4062份手稿,其中92.27%自2014年以来出版.
- 贡献最大的国家包括中国,美国,印度,日本和韩国.
- 主要的研究领域是放射学,核医学,医学成像学,瘤学和计算机科学.
- 确定了四个主要集群:查,诊断,治疗和预后.
- 李伟民和阿尔特斯·雨果·J.W.L.都是主要的权威人士.
结论:
- 深度学习框架和基于人工智能的放射学是突出的研究领域.
- 高质量的标准化数据对于彻底改变肺癌查和诊断至关重要.
- 人工智能模型的进一步开发和严格的评估是临床应用所需的.
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