Evidence map›Paper›PMID 37651164›Full record

ArticleJournal of medical Internet research2023

Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor.

Tiffany I Leung, Taiane de Azevedo Cardoso, Amaryllis Mavragani, Gunther Eysenbach

Abstract readEditorial
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  9. Article
  10. Article
  11. Ethical Use of Artificial Intelligence for Clinical Vignettes.HCA healthcare journal of medicine · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. 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

4 authors.

Tiffany I Leung *JMIR Publications, Inc, Toronto, ON, Canada.ORCID 0000-0002-6007-4023
Taiane de Azevedo Cardoso *JMIR Publications, Inc, Toronto, ON, Canada.ORCID 0000-0003-1925-8709
Amaryllis MavraganiJMIR Publications, Inc, Toronto, ON, Canada.ORCID 0000-0001-6106-0873
Gunther EysenbachJMIR Publications, Inc, Toronto, ON, Canada.ORCID 0000-0001-6479-5330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ethics of generative artificial intelligence (AI) use in scientific manuscript content creation has become a serious matter of concern in the scientific publishing community. Generative AI has computationally become capable of elaborating research questions; refining programming code; generating text in scientific language; and generating images, graphics, or figures. However, this technology should be used with caution. In this editorial, we outline the current state of editorial policies on generative AI or chatbot use in authorship, peer review, and editorial processing of scientific and scholarly manuscripts. Additionally, we provide JMIR Publications' editorial policies on these issues. We further detail JMIR Publications' approach to the applications of AI in the editorial process for manuscripts in review in a JMIR Publications journal.

Indexed as

Artificial IntelligenceSoftwareAuthorshipEditorial PoliciesHumansLanguageAIartificial intelligenceeditorialopen access publishingopen sciencepublication policypublishingresearchscholarly publishingscience editingscientific publishingscientific research

Identifiers

PMID37651164
PMCPMC10502596

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.