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在ADHD的人工智能:研究热点,趋势和临床应用的全球视角

Xiaofang Wang¹, Qianfang Jia^2,3, Lvyuan Liang⁴

¹Hebei University of Chinese Medicine, Shijiazhuang, China.

Frontiers in human neuroscience

|April 25, 2025

概括

人工智能 (AI) 在诊断注意力缺陷多动障碍 (ADHD) 方面表现有前途. 研究趋势突出了人工智能.

科学领域:

神经科学是一个神经科学.
计算机科学计算机科学
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 在注意力缺陷多动症 (ADHD) 研究中越来越重要.
人工智能有可能对ADHD进行客观诊断和分类.
本研究分析了ADHD中的AI应用,以确定研究前沿和趋势.

研究的目的:

在ADHD研究中全面分析人工智能应用的现状.
确定AI和ADHD研究中的热点和新兴趋势.
引导未来的研究和ADHD诊断和管理的临床进展.

主要方法:

来自Web of Science核心集合 (WoSCC) 的文章的图书统计分析.
使用CiteSpace 6.3.R.1软件进行数据分析.
包括对高影响力文章和突发关键词的分析.

主要成果:

分析了来自50个国家的342篇文章.
美国 (103篇文章),中国 (69) 和英国 (34) 是主要的贡献者.
纽约州立大学系统和精神病学的前沿是最富有成效的.

结论:

人工智能是ADHD研究的一个重要焦点,来自美国,中国和英国的领先贡献.
网络分析和用于ADHD诊断的AI是当前的研究热点和未来的趋势.
人工智能为ADHD的客观诊断指标提供了潜力.

关键词:

人工智能是一种人工智能.注意力缺陷多动性障碍注意力缺陷多动性障碍诊断诊断诊断诊断诊断诊断热点热点点的热点点.这是一个趋势趋势的趋势.

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