Linguistic Features of AI-Generated Scientific Manuscripts in Medical Fields: Writing Instruction for Biomedical Authors
Nematullah Shomoossi
1
(
Sabzevar University of Medical Sciences, Sabzevar, Iran
)
Fatemeh Baradaran Yazdi
2
(
Department of Education, Sabzevar, Iran
)
Farzaneh Shomoossi
3
(
Imam Khomeini International University, Qazvin, Iran
)
Abdurrashid Khazaei Feizabad
4
(
Zahedan University of Medical Sciences, Zahedan, Iran
)
کلید واژه: Artificial Intelligence, Biomedical Authors, English as a Foreign Language,
چکیده مقاله :
The advent of artificial intelligence (AI) has precipitated a paradigm shift in the methodologies employed for drafting scientific manuscripts, particularly within the biomedical field. As an educator and researcher specializing in English as a Foreign Language (EFL) for biomedical authors, we have observed an increasing reliance on AI tools for various stages of manuscript preparation, including drafting, editing, and refinement. This evolution presents both promising opportunities and tough challenges that require careful consideration, especially regarding the distinctive features of AI-generated manuscripts and their implications for EFL authors. The present short communication aims to introduce linguistic features of AI-generated scientific manuscripts in medical fields and offer some implications for biomedical authors.
چکیده انگلیسی :
The advent of artificial intelligence (AI) has precipitated a paradigm shift in the methodologies employed for drafting scientific manuscripts, particularly within the biomedical field. As an educator and researcher specializing in English as a Foreign Language (EFL) for biomedical authors, we have observed an increasing reliance on AI tools for various stages of manuscript preparation, including drafting, editing, and refinement. This evolution presents both promising opportunities and tough challenges that require careful consideration, especially regarding the distinctive features of AI-generated manuscripts and their implications for EFL authors. The present short communication aims to introduce linguistic features of AI-generated scientific manuscripts in medical fields and offer some implications for biomedical authors.
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