精神病学中的人工智能:研究现状,趋势和临床应用的全球视角
Zhen Bai1, Chen Bai2, Xiaopeng Yang1
1Department of Medical Equipment, The First Affiliated Hospital of Zhengzhou University, Henan, China.
Journal of psychiatric research
|February 6, 2026
概括
精神病学研究中的人工智能正在增长,但临床益处分布不均. 伦理和实施研究落后,扩大差距,限制在精神卫生保健中公平地采用人工智能.
科学领域:
- 精神病学是一个精神病学.
- 人工智能的人工智能
- 图书统计学 图书统计学
- 语义主题建模 语义主题建模
背景情况:
- 人工智能 (AI) 越来越多地被用于精神病学研究,但其临床转化和公平应用显示出显著的差异.
- 研究成果和合作集中在高收入地区,限制了全球参与和多样化的视角.
研究的目的:
- 分析人工智能在精神病学研究中的风景,使用文献计量和主题建模技术.
- 确定研究趋势,合作模式和重点领域的分布,包括道德考虑和临床实施.
主要方法:
- 从Web of Science对2795个出版物的图书统计分析.
- 基于BERTopic的语义主题建模来绘制研究格局.
- 时间差距分析,以评估研究主题随时间的演变.
主要成果:
- 自2012年以来,文献的快速扩展,以方法论开发和诊断应用为主.
- 减少对伦理,治理和实施的研究,人工智能应用和2016年后的伦理监督之间的差距越来越大.
- 老年人,数字边缘化人口和低资源环境的代表性不足,可能会限制概括性并加剧健康不平等.
结论:
- 人工智能临床应用与精神病学中的道德治理之间存在重大结构性差距.
- 迫切需要加强治理,包容性数据实践,以及在心理健康领域对人工智能的多站点验证.
- 优先考虑公平的国际合作和数据共享对于在精神病学中负责任地部署人工智能至关重要.
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