Evidence map›Paper›PMID 41050036›Full record

ArticleCureus2025

Delayed Use of ChatGPT by Japanese Doctors Due to Limited English Language Proficiency: A Survey-Based Study in Japan.

Tamotsu Kuribayashi, Takashi Chinen, Shinsuke Nagai, Koichiro Shigeta, Yasushi Fujirai, Hidenori Uda

Abstract read
In one paragraph

Article in Cureus, 2025. 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

6 authors.

Tamotsu KuribayashiGeneral Medicine, Japanese Red Cross Kagoshima Hospital, Kagoshima, JPN.
Takashi ChinenClinical Oncology, Outpatient Therapy Center, University of the Ryukyus Hospital, Ginowan, JPN.
Shinsuke NagaiGeneral Medicine, Japanese Red Cross Kagoshima Hospital, Kagoshima, JPN.
Koichiro ShigetaGastroenterology, Kirishima Medical Center, Kirishima, JPN.
Yasushi FujiraiGeneral Practice, Japan Association for Development of Community Medicine, Chiyoda, JPN.
Hidenori UdaGeneral Practice, Japan Association for Development of Community Medicine, Chiyoda, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) systems, such as Chat Generative Pretrained Transformer (ChatGPT), can provide efficient medical support for doctors. However, the adoption of ChatGPT may depend on users' proficiency in English. In this study, we surveyed the use of ChatGPT by early-career doctors, especially those working in rural areas of Japan.

methodsWe conducted an anonymous online survey targeting early-career doctors (one to nine years of clinical experience) in Japan. The survey was conducted between October 10 and December 31, 2024. Participants were asked to provide their demographic information, experience using ChatGPT, and the benefits and challenges of using it.

resultsForty-six physicians completed the questionnaire. Of the respondents, 32.6% (15/46) had never used ChatGPT. Among the users, only 12.9% (4/31) began using the English version of ChatGPT before the Japanese version became available. Supporting the writing of academic papers in English was the most frequently cited benefit of ChatGPT among respondents, as reported by 18 users. DISCUSSION: Our findings suggest a potential link between limited English proficiency and delayed initial adoption of ChatGPT among early-career Japanese doctors. Nevertheless, they supported Japanese doctors in their academic writing. These findings underscore the need to introduce targeted efforts to promote ChatGPT, particularly in non-English-speaking communities. Although AI is associated with some ethical concerns, this study highlights the utility of ChatGPT for this population.

conclusionOur findings suggest a potential link between limited English proficiency and the delayed initial adoption of ChatGPT among early-career Japanese doctors.

Indexed as

academic writingartificial intelligencechatgptearly careernonnative english speakersrural doctors

Identifiers

PMID41050036
PMCPMC12489014

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.