Evidence map›Paper›PMID 41946953›Full record

ArticleNPJ digital medicine2026

Evaluation of artificial intelligence-generated vignettes depicting patient chatbot use in psychiatric contexts.

Wanhong Zheng, Dilip N Chandran, Daniel E Elswick, Mohammad Iqbal Nouyed, Gangqing Hu

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Wanhong ZhengDepartment of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, WV, USA. wzheng@hsc.wvu.edu.
Dilip N ChandranDepartment of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, WV, USA.
Daniel E ElswickDepartment of Behavioral Medicine and Psychiatry, West Virginia University, Morgantown, WV, USA.
Mohammad Iqbal NouyedDepartment of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV, USA.
Gangqing HuDepartment of Microbiology, Immunology & Cell Biology, West Virginia University, Morgantown, WV, USA. Michael.Hu@hsc.wvu.edu.

Funding

WV INBRE: The Inhibitor of Growth Family Member 4 (ING4) inhibits L-Type Amino Acid Transporter 1 (LAT1) expression to suppress Breast CancerP20GM103434 · NIGMS · MARSHALL UNIVERSITY · PI GARY O RANKIN · 2012 to 2026
$61.1M
National Science Foundation 2125872NIGMS NIH HHS P20 GM103434
6 · The paper itself

Abstract

Chatbot-related mental health risks have attracted increasing public attention, yet educational case materials for clinicians remain limited. We evaluated ChatGPT-5 Pro's ability to generate psychiatric vignettes involving patient chatbot use. Three board-certified psychiatrists rated the vignettes on chatbot relevance, diagnostic sufficiency, explanation quality, and safety. While chatbot relevance and diagnostic sufficiency were high, safety ratings were lower, underscoring the need for expert review before educational use.

Identifiers

PMID41946953
PMCPMC13342502

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.