精神病学中的人工智能:当前和新兴趋势,临床应用和研究差距通过文献识别分析来探索
1Department of Psychiatry, Hitit University Erol Olçok Education and Research Hospital, Çorum, Turkey.
Asian journal of psychiatry
|January 7, 2026
概括
这项图书统计研究分析了精神病学领域的人工智能 (AI) 出版物,揭示了抑郁症和精神分裂症等关键主题. 未来的研究应该涉及人工智能.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 融入精神病学研究正在迅速扩大.
- 图书计量分析提供了一种定量方法来理解研究景观.
研究的目的:
- 在精神病学中对基于人工智能的科学出版物进行文献分析.
- 确定该领域的突出主题,研究趋势和未来的机会.
主要方法:
- 在科学网络"精神病学"类别中选原创文章 (1980-2025年).
- 包括关键词:"人工智能"",机器学习"和"深度学习".
- 使用了2328篇文章的文献分析 (RStudio中的文献分析包),包括2328篇文章的趋势和因素分析.
主要成果:
- 中心主题包括抑郁症,精神分裂症,自杀,焦虑症,双相情感障碍,精神病和数字健康.
- 研究趋势从神经生物学标志物演变为早期精神病,症状严重程度,fMRI,以及后来的神经退行性疾病和连接性.
- 新兴主题 (2024-2025) 突出"心理健康"",数字健康"和"可解释性",反映了医疗数字化和透明度需求.
结论:
- 人工智能在精神病诊断,预测,数字健康,个性化治疗和社区心理健康方面展示了变革性的潜力.
- 焦点领域如抑郁症,精神分裂症和自杀与临床优先事项保持一致.
- 关键的研究差距包括外部有效性,数据异质性,可解释性和伦理整合性.
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