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儿童和青少年自闭症研究多模式人工智能的趋势:一个科学计量研究

Yan Yan¹, Erlina Abdullah¹

¹School of Applied Science, Lincoln University College, Selangor, Malaysia.

Journal of the Korean Academy of Child and Adolescent Psychiatry

|October 17, 2025

概括

人工智能 (AI) 对儿童自闭症谱系障碍 (ASD) 的应用正在迅速增长,重点关注诊断和神经成像. 未来的研究应该探索全面护理的干预措施和纵向跟踪.

科学领域:

* 综合计算机科学,神经科学和发育心理学的跨学科研究.
*专注于用于自闭症谱系障碍 (ASD) 的人工智能 (AI) 应用.

背景情况:

* 全球对人工智能的兴趣日益增长,用于诊断和理解儿童群体中ASD.
*自2015年以来观察到显著的出版物增长,在2020年之后加速.

研究的目的:

* 将AI在ASD研究中的专题结构和知识演变映射出来.
* 确定对患有自闭症儿童和青少年的人工智能应用的关键研究集群和趋势.

主要方法:

*对来自Scopus数据库的1401篇文章进行了科学度和基于内容的分析 (截至2025年6月).
*使用VOSviewer进行文献计量分析,用于关键词的同时出现和引用分析.
*对确定的主题集群的定性内容检查.

主要成果:

*四个主要主题:人工智能诊断,神经成像分析,早期风险检测和干预研究 (有限).
* 深度学习在神经成像和早期检测研究中的占主导地位.
*来自美国,中国和英国的领先贡献,与国际合作.

结论:

*该领域显示出强烈的诊断重点和ASDAI的方法论进步.
* 干预策略和纵向研究存在重大差距.
* 确定了在ASD护理中人工智能尚未探索的领域的未来研究机会.

关键词:

青少年是一个青少年.人工智能的人工智能是人工智能.自闭症谱系障碍自闭症谱系障碍孩子孩子孩子孩子孩子孩子机器学习机器学习多模式成像技术多模式成像技术

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