Evidence map›Paper›PMID 40703846›Full record

ArticleJournal of clinical orthopaedics and trauma2025

The impact of ChatGPT on orthopedic residents' scientific writing: A quasi-experimental study.

Raj Kumar, Arun Kumar P, Adhithyan Anbu Selvam, Ilavarasan Dhamu, Navin Balasubramanian

Abstract read
In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

5 authors.

Raj KumarDepartment of Orthopedics, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Arun Kumar PDepartment of Orthopedics, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Adhithyan Anbu SelvamDepartment of Orthopedics, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Ilavarasan DhamuDepartment of Orthopedics, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Navin BalasubramanianDepartment of Orthopedics, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Scientific writing is essential for orthopedic residents, enabling academic contributions and evidence-based practice. However, challenges such as time constraints, lack of training, and language barriers hinder their writing. AI-based tools like ChatGPT offer potential solutions to improve writing efficiency and quality. This study evaluates the impact of ChatGPT on orthopedic residents' scientific writing by assessing their performance before and after AI assistance in a single cohort. Methods: Thirty-six orthopedic residents first underwent structured training in scientific writing. They then wrote an article within six weeks without AI. In the second phase, they used ChatGPT to write another article over six weeks. Articles were assessed based on six criteria: understanding article writing, identifying research problems, knowledge of research types, understanding research methods, mastering writing techniques, and using correct language. Results: Following the AI intervention in, writing significantly improved residents' ability to understand article writing (4.3 ± 0.6 vs. 3.1 ± 0.8, p < 0.001), master writing techniques (4.4 ± 0.6 vs. 2.7 ± 0.9, p < 0.001), and use correct language (4.6 ± 0.5 vs. 2.6 ± 1.0, p < 0.001). Following the AI writing intervention, residents had slightly higher scores in identifying research problems, understanding research models, and knowledge of research types, these differences were not statistically significant. Despite improvements in language quality and article structure, AI-generated content lacked originality and critical depth. Conclusion: ChatGPT enhances writing efficiency and quality but does not replace critical thinking and originality. AI should supplement, not replace, human oversight in scientific writing. Integrating AI-assisted writing into medical education, alongside proper research methodology training, may optimize benefits for orthopedic residents.

Indexed as

Artificial intelligenceMedical educationNatural language processingScientific writing

Identifiers

PMID40703846
PMCPMC12281245

What OpenQuestion holds

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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.