人工智能在精神病学中用于个性化治疗
Sara Jalali1, Qiong You1,2, Victoria Xu1,2
1Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada.
Current psychiatry reports
|December 28, 2025
概括
人工智能 (AI) 在精神病学中显示出预测和查的前景,但需要更多的验证. 由于道德风险,当前的AI工具应该补充,而不是取代临床专业知识.
科学领域:
- 精神病学是一个精神病学.
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 人工智能 (AI) 在精神病学实践中的整合已经迅速推进.
- 人工智能应用包括查,预测和治疗干预.
研究的目的:
- 在过去五年中审查AI在精神病学中的作用.
- 检查AI在查,结果预测,风险/复发预测和心理治疗中的应用.
主要方法:
- 对精神病学中人工智能应用的系统审查.
- 使用各种数据源 (问卷,电子健康记录,神经成像,数字表型) 分析机器学习模型.
- 评估人工智能工具随机对照试验的证据.
主要成果:
- 机器学习模型在预测症状轨迹,复发风险和治疗反应方面表现有前途.
- 大多数人工智能模型存在有限的外部和临床验证.
- 初步证据支持人工智能用于临床决策支持和查;聊天机器人心理治疗证据正在芽.
- 伦理风险 (自动化偏见,不透明,社会情感伤害) 阻碍了临床整合.
结论:
- 目前精神病学中的人工智能主要是作为临床专业知识的补充.
- 未来的研究需要前性,多地点的试验,与多种不同的人群和活跃的比较者.
- 强调透明的报告,可解释性,监督和公平性对于安全的AI集成至关重要.
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