Exploring the application boundaries of LLMs in mental health: a systematic scoping review
LLMs have emerged as sophisticated "Mental Health Agents" with immense potential for providing personalized, knowledge-guided interventions. The core challenge for future development is to transcend basic functionality and achieve clinical rigor. Future research must prioritize deep specialization into psychological models, enhance multimodal integration for comprehensive patient assessment, and urgently develop robust ethical and cultural adaptation frameworks to ensure the models are safe, globally equitable, and reliable for clinical deployment, thereby fulfilling their potential to alleviate the global mental health resource crisis.
Authors
- Patrick Cheong‐Iao Pang (ORCID: https://orcid.org/0000-0002-8820-5443)
- Ting Liu (ORCID: https://orcid.org/0009-0001-0331-262X)
- Qin Yang
- Yiming Luo (ORCID: https://orcid.org/0009-0002-6117-738X)
- Xiang Ao (ORCID: https://orcid.org/0000-0001-7813-0129)
- Jinhua Yang
- Tianyue Niu
Institutions
- Jiangnan University (CN)
- Tongji University (CN)
- Georgia Institute of Technology (US)
- Data Assurance and Communication Security (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2026-02-27
- DOI
- https://doi.org/10.3389/fpsyg.2025.1715306
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundo para o Desenvolvimento das Ciências e da Tecnologia