Evidence map›Paper›PMID 37729376›Full record

ReviewRevista da Associacao Medica Brasileira (1992)2023

The use of artificial intelligence to improve the scientific writing of non-native english speakers.

Auro Del Giglio, Mateus Uerlei Pereira da Costa

Open access · diamondAbstract readReview
In one paragraph

Review in Revista da Associacao Medica Brasileira (1992), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% of its field
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 116 citations in OpenAlex.

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  12. ChatGPT assisted generation of systematic review ideas in urooncology.Revista da Associacao Medica Brasileira (1992) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Auro Del GiglioFundação do ABC, Faculdade de Medicina, Disciplina de Hematologia e Oncologia - Santo André (SP), Brazil.ORCID http://orcid.org/0000-0002-2009-824X
Mateus Uerlei Pereira da CostaBiblioteca da Sociedade Brasileira de Oncologia Clínica - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0003-1570-3967
Fundação do ABC · BRSociedade Brasileira de Oncologia Clínica · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveScientific writing in English is a daunting task for non-native English speakers. The challenges of writing in a foreign language are evident in the scientific literature where texts by non-native English-speaking scientists tend to be less clear and succinct, contain grammatical errors, and are often rejected by prestigious journals.

methodsWe conducted a non-systematic review of the most recent literature using the terms "Artificial Intelligence," "Scientific Writing," and "Non-English Speaking" to create a narrative review.

resultsArtificial intelligence can be a solution to improve scientific writing, especially for non-native English-speaking scientists. Artificial intelligence can assist in the search for pertinent scientific papers, generate summaries, and help with the writing of different sections of the manuscript, including the abstract, introduction, methods, results, and discussion. Artificial intelligence-based programs can correct grammatical errors and improve writing style, both of which are particularly helpful for non-native English speakers. Two artificial intelligence programs that can help with the search for pertinent scientific papers on the internet are Elicit and ResearchRabbit. Scispace Copilot can be used to summarize the retrieved reference. The artificial intelligence software programs such as Grammarly and Paperpal can correct grammatical and spelling errors, while ChatGPT can also restructure sentences and paragraphs, reword text, and suggest appropriate words and phrases.

conclusionOverall, artificial intelligence can be an effective tool to improve the clarity, style, and coherence of scientific writing, helping non-native English-speaking scientists to communicate their research more effectively.

Indexed as

Artificial IntelligencePhysiciansHumansInternetLanguageWriting

Identifiers

PMID37729376
PMCPMC10508892
OpenAlexW4386831162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.