Large Language Models and Their Applications in Mental Health: Scoping Review
Matheus Calvin Lokadjaja, Jordon Junyang Kho, Peter Johannes Schulz, Wilson Wen Bin Goh, John Torous, Awele Okolie, Venkat Bhat, Ruslan Kurmashev, Esra Emekli · 2026
Read Large Language Models and Their Applications in Mental Health: Scoping Review by Matheus Calvin Lokadjaja, Jordon Junyang Kho, Peter Johannes Schulz, Wilson Wen Bin Goh, John Torous, Awele Okolie, Venkat Bhat, Ruslan Kurmashev, Esra Emekli (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13537432.txt.
Description
Matheus Lokadjaja and co-authors map research on large language models in mental health, in a scoping review dated 2026. Chat-style models are being tried for diagnosis, outlook forecasts, and decision support across psychiatry. With models and tweaks multiplying, the field needed a census.
The team screened over three thousand papers from three databases, covering work from early 2023 to late 2025. Two reviewers sorted the pile independently, with a third settling disputes. Forty-one papers made the final cut. For each, the review records the model used, the task, the data, and how the model was adapted. The synthesis shows where effort clusters and where proof is still missing, guiding groups that want to build or judge mental health tools.
Catalog record
| CREATOR | Matheus Calvin Lokadjaja, Jordon Junyang Kho, Peter Johannes Schulz, Wilson Wen Bin Goh, John Torous, Awele Okolie, Venkat Bhat, Ruslan Kurmashev, Esra Emekli |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 48 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |