Large multimodal models assist in psychiatry disorders prevention and diagnosis of students.

ChatGPT Large multimodal models Mental health Psychiatric disorders Student

Journal

World journal of psychiatry
ISSN: 2220-3206
Titre abrégé: World J Psychiatry
Pays: United States
ID NLM: 101610480

Informations de publication

Date de publication:
19 Oct 2024
Historique:
received: 10 04 2024
revised: 03 09 2024
accepted: 25 09 2024
medline: 30 10 2024
pubmed: 30 10 2024
entrez: 30 10 2024
Statut: epublish

Résumé

Students are considered one of the groups most affected by psychological problems. Given the highly dangerous nature of mental illnesses and the increasingly serious state of global mental health, it is imperative for us to explore new methods and approaches concerning the prevention and treatment of mental illnesses. Large multimodal models (LMMs), as the most advanced artificial intelligence models (

Identifiants

pubmed: 39474381
doi: 10.5498/wjp.v14.i10.1415
pmc: PMC11514563
doi:

Types de publication

Editorial

Langues

eng

Pagination

1415-1421

Informations de copyright

©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

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Auteurs

Xin-Qiao Liu (XQ)

School of Education, Tianjin University, Tianjin 300350, China. xinqiaoliu@pku.edu.cn.

Xin Wang (X)

School of Education, Tianjin University, Tianjin 300350, China.

Hui-Rui Zhang (HR)

Faculty of Education, The Open University of China, Beijing 100039, China.

Classifications MeSH