大语言模型在心理健康领域的应用、创新与伦理挑战系统综述
原标题：Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges
AI 摘要
本文是一篇关于大语言模型在心理健康领域应用的系统综述，涵盖了社交媒体分析、临床对话代理、治疗支持工具、提示工程、多模态学习及伦理考量等方面。综述整合了跨学科研究，利用社交媒体帖子、电子病历和多模态数据实现抑郁症早期检测、自杀风险评估和个性化治疗支持，同时强调了提示工程和可解释性的重要性。文章还讨论了多模态融合技术的进展以及伦理、社会技术和监管方面的挑战，倡导建立安全、公平和负责任的部署框架。
正文节选
[Page 1] Large Language Models in Mental Health: A Systematic Review of Applications, Innovations, and Ethical Challenges Yisong Chena*, Yifan Gaob, Sijing Yuc, Chuqing Zhaod and Yang Lue a College of Computing, Georgia Institute of Technology, Atlanta, US; b Department of Information System and Cyber Security, The University of Texas at San Antonio, San Antonio, US; c Department of Computer Science and Engineering, Texas A&M University, US; Harvard University, School of Engineering and Ap