Evidence map›Paper›PMID 41676812›Full record

ArticleJMA journal2026

Artificial Intelligence in Medical Writing: Is It an Exception to Evidence-Based Medicine?

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Generative artificial intelligence (GenAI) is now widely used in medicine, including medical writing. Its merits and demerits have been discussed; however, such discussion has not been based on evidence-based medicine (EBM). Here, I focus primarily on GenAI use in medical writing, illustrating how it has already spread before its safety-especially long-term safety-has been confirmed by EBM. I therefore make several modest proposals. Assuming GenAI is a new drug, its use has not yet cleared even the first step of a phase I trial. Assuming it is a new procedure, it remains at the "experience" or "case report" phase. EBM requires the completion of phase I-III trials and randomized controlled trials or meta-analyses before any drug or procedure is confirmed safe and effective. Emergency evacuation can be applied for life-threatening medical conditions; however, it does not apply to "writing." Nevertheless, the current publication world has already gone far beyond: GenAI use is already considerable in medical publication. Thus, three propositions have been made. First, we must recognize that the use of GenAI for writing operates outside the usual EBM framework. Second, we should conduct trials, even if they are difficult and time-consuming, to evaluate the safety and effectiveness of GenAI in writing. Third, we should use GenAI in writing only modestly until safety is confirmed. What is true becomes evident long after, and thus, I believe that we should take a cautious stance toward GenAI use in writing. How cautious should be discussed widely. This viewpoint may contribute to the discussion of GenAI use more generally, beyond medical writing.

Indexed as

artificial intelligenceChatGPTevidence-based medicinefutureregulation

Identifiers

PMID41676812
PMCPMC12889114

What OpenQuestion holds

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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.