Psy-LLM：基于人工智能的大语言模型扩展全球心理健康心理服务
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models
AI总结：
本文提出Psy-LLM框架，利用大语言模型结合专业问答和心理文章，为心理咨询提供辅助问答与筛查工具，经评估能生成连贯相关回答，以缓解心理健康服务需求。
摘要：
近年来，心理咨询的需求显著增长，尤其是随着COVID-19的全球爆发，人们对及时、专业的心理健康支持的需求更加迫切。在线心理咨询已成为满足这一需求的主要服务模式。在本研究中，我们提出了Psy-LLM框架，这是一种基于人工智能的辅助工具，利用大语言模型（LLMs）在心理咨询场景中进行问答，以缓解对心理健康专业人员的需求。我们的框架将预训练的大语言模型与来自心理学家的真实世界专业问答以及广泛爬取的心理文章相结合。Psy-LLM框架作为面向医疗保健专业人员的前端工具，使他们能够提供即时响应和正念活动以减轻患者压力。此外，它还可作为筛查工具，识别需要进一步帮助的紧急病例。我们使用内在指标（如困惑度）和外在评估指标对框架进行了评估，并由人类参与者对响应的有用性、流畅性、相关性和逻辑性进行评估。结果表明，Psy-LLM框架在生成连贯且相关的心理问题答案方面具有有效性。本文讨论了利用大语言模型通过人工智能技术增强心理健康支持的潜力和局限性。
英文摘要：
The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which has heightened the need for timely and professional mental health support. Online psychological counselling has emerged as the predominant mode of providing services in response to this demand. In this study, we propose the Psy-LLM framework, an AI-based assistive tool leveraging Large Language Models (LLMs) for question-answering in psychological consultation settings to ease the demand for mental health professions. Our framework combines pre-trained LLMs with real-world professional Q\&A from psychologists and extensively crawled psychological articles. The Psy-LLM framework serves as a front-end tool for healthcare professionals, allowing them to provide immediate responses and mindfulness activities to alleviate patient stress. Additionally, it functions as a screening tool to identify urgent cases requiring further assistance. We evaluated the framework using intrinsic metrics, such as perplexity, and extrinsic evaluation metrics, with human participant assessments of response helpfulness, fluency, relevance, and logic. The results demonstrate the effectiveness of the Psy-LLM framework in generating coherent and relevant answers to psychological questions. This article discusses the potential and limitations of using large language models to enhance mental health support through AI technologies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
