Linguistic Features of AI-Generated Scientific Manuscripts in Medical Fields: Writing Instruction for Biomedical Authors
محورهای موضوعی : Research in English Language Pedagogy
Nematullah Shomoossi
1
,
Fatemeh Baradaran Yazdi
2
,
Farzaneh Shomoossi
3
,
Abdurrashid Khazaei Feizabad
4
1 - Sabzevar University of Medical Sciences, Sabzevar, Iran
2 - Department of Education, Sabzevar, Iran
3 - Imam Khomeini International University, Qazvin, Iran
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.
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.
Ahn, S. (2024). The transformative impact of large language models on medical writing and publishing: Current applications, challenges and future directions. The Korean Journal of Physiology & Pharmacology: Official Journal of the Korean Physiological Society and the Korean Society of Pharmacology, 28(5), 393-401. http://doi.10.4196/kjpp.2024.28.5.393
Bahammam, A. S., Trabelsi, K., Pandi-Perumal, S. R., & Jahrami, H. (2023). Adapting to the impact of artificial intelligence in scientific writing: Balancing benefits and drawbacks while developing policies and regulations. Journal of Nature and Science of Medicine, 6(3), 152-158.
Carobene, A., Padoan, A., Cabitza, F., Banfi, G., & Plebani, M. (2024). Rising adoption of artificial intelligence in scientific publishing: Evaluating the role, risks, and ethical implications in paper drafting and review process. Clinical Chemistry and Laboratory Medicine (CCLM), 62(5), 835-843. 1. https://doi.org/10.1515/cclm-2023-1136
Fornalik, M., Makuch, M., Lemanska, A., Moska, S., Wiczewska, M., Anderko, I., . . . Zielińska, A. (2024). Rise of the machines: trends and challenges of implementing AI in biomedical scientific writing. Exploration of Digital Health Technologies, 2(5), 235-248. https://doi.org/10.37349/edht.2024.00024
Khaleel, M., Nassar, Y., & El-Khozondar, H. J. (2024). Towards utilizing Artificial Intelligence in scientific writing. Int. J. Electr. Eng. and Sustain., 45-50. https://doi.org/10.1016/j.patter.2024.101075
Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education, 49(5), 1-18. https://doi.org/10.1080/03075079.2024.2323593
Ramírez, J. G. C. (2024). Natural Language Processing Advancements: Breaking Barriers in Human-Computer Interaction. Journal of Artificial Intelligence General Science (JAIGS) ISSN: 3006-4023, 3(1), 31-39. https://doi.org/10.60087/jaigs.v3i1.63
Walters, W. H., & Wilder, E. I. (2023). Fabrication and errors in the bibliographic citations generated by ChatGPT. Scientific Reports, 13(1), 14045. https://doi.org/10.1038/s41598-023-41032-5
