Exploring the application boundaries of LLMs in mental health: a systematic scoping review
Jinhua Yang, Ting Liu, Yiming Taclis Luo, Tianyue Niu, Patrick Pang, Ao Xiang, Qin Yang · 2026
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Description
Jinhua Yang and co-authors map where large language models are used in mental health in this review, published in 2025. Chatbots and text models are being tried for screening, support, and therapy aids. The field is moving fast, and its safe limits are unclear. The team searched eleven databases and kept twenty-nine studies for close review.
Most work aims at high-volume screening and help for clinicians. Specialized smaller models often beat general ones on accuracy for common disorders. Training data leans heavily on social media text. Weak spots include poor fit for non-Western cultures and trouble tracking a patient's history over time. The authors urge stronger ethics rules and deeper clinical grounding.
Catalog record
| CREATOR | Jinhua Yang, Ting Liu, Yiming Taclis Luo, Tianyue Niu, Patrick Pang, Ao Xiang, Qin Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |