Evidence map›Paper›PMID 39474381›Full record

ArticleWorld journal of psychiatry2024

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

Xin-Qiao Liu, Xin Wang, Hui-Rui Zhang

Abstract readEditorial
In one paragraph

Article in World journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xin-Qiao LiuSchool of Education, Tianjin University, Tianjin 300350, China. xinqiaoliu@pku.edu.cn.
Xin WangSchool of Education, Tianjin University, Tianjin 300350, China.
Hui-Rui ZhangFaculty of Education, The Open University of China, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (

Indexed as

ChatGPTLarge multimodal modelsMental healthPsychiatric disordersStudent

Identifiers

PMID39474381
PMCPMC11514563

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.