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Articles Published Processes
11/4/2025 2:41:47 AM | Browse: 21 | Download: 46
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Received |
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2025-04-14 07:04 |
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Peer-Review Started |
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2025-04-21 00:18 |
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First Decision by Editorial Office Director |
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2025-05-13 12:15 |
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Return for Revision |
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2025-05-13 12:15 |
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Revised |
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2025-05-27 00:18 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-09-03 02:46 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-09-03 08:05 |
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Articles in Press |
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2025-09-03 08:05 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-21 09:30 |
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Publish the Manuscript Online |
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2025-11-04 02:41 |
| ISSN |
2220-3206 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Psychiatry |
| Manuscript Type |
Minireviews |
| Article Title |
Large language models in clinical psychiatry: Applications and optimization strategies
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yi-Fan Wang, Ming-Da Li, Su-Hong Wang, Yin Fang, Jie Sun, Lin Lu and Wei Yan |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| STI2030-Major Projects |
No. 2021ZD0203400 and No. 2021ZD0200800 |
| National Natural Science Foundation of China |
No. 82171477 |
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| Corresponding Author |
Wei Yan, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Huayuan Bei Road, Beijing 100191, China. weiyan@bjmu.edu.cn |
| Key Words |
Large language models; Clinical psychiatry; Mixture of experts; Mental health; Research progress |
| Core Tip |
This article comprehensively reviews the application scenarios and research advancements of large language models (LLMs) in psychiatry, ranging from outpatient reception, diagnosis and therapy, clinical nursing, medication safety, to prognosis tracking. It explores optimization methods for LLMs in psychiatry. These methods combine the techniques such as pre-training, supervised fine-tuning, retrieval-augmented generation, agent systems, and prompt engineering. Based on the research findings, we propose a clinical LLM for mental health using the Mixture of Experts framework. This approach addresses the shortcomings of single LLM system and aims to improve the accuracy of psychiatric diagnosis and therapeutic interventions. |
| Publish Date |
2025-11-04 02:41 |
| Citation |
Wang YF, Li MD, Wang SH, Fang Y, Sun J, Lu L, Yan W. Large language models in clinical psychiatry: Applications and optimization strategies. World J Psychiatry 2025; 15(11): 108199 |
| URL |
https://www.wjgnet.com/2220-3206/full/v15/i11/108199.htm |
| DOI |
https://dx.doi.org/10.5498/wjp.v15.i11.108199 |
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