使用大型语言模型进行诊断和治疗的概述
Matteo Malgaroli1, Daniel McDuff2
1Department of Psychiatry, New York University Grossman School of Medicine, New York, New York, USA.
Journal of traumatic stress
|July 18, 2024
概括
人工智能 (AI) 和大型语言模型 (LLM) 为应激和创伤治疗提供了有希望的解决方案,解决了专业人员的短缺问题. 为了公平的临床部署,需要进一步的研究和保护隐私的方法.
科学领域:
- 计算精神病学是一种计算精神病学.
- 人工智能在心理健康中的作用
背景情况:
- 迫切需要应激和创伤治疗解决方案.
- 缺乏合格的人类心理健康专业人员.
- 人工智能提供先进的查,诊断和干预的潜力.
研究的目的:
- 精神卫生保健中最先进的大型语言模型 (LLM) 应用的概述.
- 讨论临床LLM部署的研究方向和挑战.
- 强调需要公平的准入和维护隐私的培训.
主要方法:
- 在诊断评估当前的LLM应用的审查.
- 在临床笔记生成中LLM使用的分析.
- 在治疗支持中探索LLM能力.
主要成果:
- 在诊断评估,临床文档和治疗干预方面,LLM表现有前途.
- 确定了临床LLM整合的开放研究领域和挑战.
- 强调了人工智能对心理健康的代表性和隐私的重要性.
结论:
- 法律学士课程为增加精神卫生保健服务提供了重要机会.
- 解决差异和确保数据隐私对于负责任的AI实施至关重要.
- 持续的研究和开发对于在临床环境中实现LLMs的全部潜力至关重要.
相关概念视频
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