大型语言模型在心理健康中的应用:范围审查
1Department of Statistics, Faculty of Arts and Sciences, Beijing Normal University, Beijing, China.
Journal of medical Internet research
|May 5, 2025
概括
大型语言模型 (LLM) 在心理健康方面显示出显著的潜力,有助于检测,治疗和咨询. 本综述综合了它们的应用,性能和改善心理健康护理的未来方向.
科学领域:
- 医疗保健中的人工智能
- 计算精神病学是一种计算精神病学.
- 数字心理健康数字心理健康
背景情况:
- 全球心理健康问题的增加需要创新的解决方案.
- 大型语言模型 (LLM) 提供了有效检测,治疗和获得心理健康护理的潜力.
- 目前还没有对心理健康领域的法学士进行全面审查.
研究的目的:
- 为了总结心理健康的LLM应用.
- 分析LLMs的趋势,应用领域和性能比较.
- 确定心理健康LLM的挑战和未来方向.
主要方法:
- 从2019年1月到2024年8月,对7个电子数据库进行了范围审查.
- 包括对心理健康的LLM应用进行同行评审的文章.
- 排除了不使用LLM或仅关注NLP/LSTM模型的研究.
主要成果:
- 分析了95篇关于心理健康LLM的文章.
- 主要应用领域:疾病查 (71%),治疗支持 (33%) 和咨询/教育 (12%).
- 与非变压器模型和人类相比,LLM在信息分析和响应生成方面表现出卓越的能力.
结论:
- 法律学士学位显示出提高心理健康研究,诊断和干预的巨大潜力.
- 持续的发展和伦理考虑对于临床整合至关重要.
- 本综述综合了LLM在心理健康方面的应用,绩效和挑战.
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