Evidence map›Paper›PMID 42576886›Full record

ArticleJMA journal2026

Artificial Intelligence Use in Medical Writing: On the Meaning and Limits of Disclosure.

Shigeki Matsubara

Abstract read
In one paragraph

Article in JMA journal, 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

1 author.

Shigeki MatsubaraDepartment of Obstetrics and Gynecology, Jichi Medical University, Shimotsuke, Tochigi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This opinion paper focuses on disclosure of artificial intelligence (AI) use in medical writing; AI use beyond manuscript writing is outside its scope. Almost all journals require full disclosure of AI use. However, several barriers may hinder such disclosure. First, there is a lack of clear statements by journals on how disclosure is evaluated. Authors may be concerned that a linguistically polished manuscript accompanied by AI disclosure might be scored lower. Conversely, a journal might question the nonuse of AI assistance when a manuscript presents highly significant data written in uncomfortable English. Authors may fear that either AI "use" or "nonuse" could result in disadvantage. Second, criteria for disclosure remain unclear. Many journals require disclosure when AI is used to "create, review, revise, or edit" but not when it is used for "checking grammar, spelling, and similar tasks." However, the distinction between "edit" and "grammar check" is a delicate one; prompts such as "edit" and "check grammar" may produce almost identical revisions. Third, it may become difficult to distinguish between one's original expressions and AI-aided revisions after several rounds of linguistic consultation. Authors may regard the final text as their own authorship rather than AI intervention. These three factors, intentionally or unintentionally, may prevent honest and full disclosure. Journals may consider stating two points. First, that the use or nonuse of AI tools does not affect acceptance or rejection, provided that such use adheres to journal guidelines and is accurately disclosed. Second, that disclosure information is accumulated as a resource for future analysis, contributing to a more transparent publication environment. Such clarification could reduce hesitation surrounding disclosure. Transparency, from both authors and journals, would become an asset to the medical community.

Indexed as

artificial intelligencedisclosureguidelinejournalregulation

Identifiers

PMID42576886
PMCPMC13453492

What OpenQuestion holds

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LicenceCC BY
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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.