The Use of AI in Medical Writing: Balancing Efficiency and Ethical Responsibility
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Abstract
The use of artificial intelligence (AI) in medical writing offers many benefits, including increased efficiency and productivity. However, researchers and writers must balance these benefits with the need for ethical responsibility. This paper highlights the balance and efficiency of using AI in medical writing. This is a narrative literature review. Journals were searched from PubMed, ScienceDirect, and Google Scholar. Publication date was within 5 years. There were 16 articles after screening by keywords, title, abstract, and full text. Researchers and writers must ensure that AI-generated content is accurate, reliable, and free from bias. Transparency about the use of AI tools should be enclosed. The challenges are misinterpretation and bias. Ethical aspects of using AI in medical writing are tranparency, preventing misinterpretation, reliable, accurate, and free from bias. The efficiency of using AI-assited writing is time management. In conclusion, by balancing efficiency and ethical responsibility, researchers can harness the benefits of AI while maintaining the highest standards of ethics and integrity.
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References
Cooperman, S. R., & Brandão, R. A. (2024). AI assistance with scientific writing: Possibilities, pitfalls, and ethical considerations. Foot & Ankle Surgery: Techniques, Reports & Cases, 4(1), 100350. https://doi.org/10.1016/j.fastrc.2023.100350
Doskaliuk, B., Zimba, O., Yessirkepov, M., Klishch, I., & Yatsyshyn, R. (2025). Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity. Journal of Korean Medical Science, 40(7), e92. https://doi.org/10.3346/jkms.2025.40.e92
Hutson, J. (2024). Rethinking Plagiarism in the Era of Generative AI. Journal of Intelligent Communication, 3(2). https://doi.org/10.54963/jic.v3i2.220
Hutson, J. (2025). Human-AI Collaboration in Writing: A Multidimensional Framework for Creative and Intellectual Authorship. International Journal of Changes in Education. https://doi.org/10.47852/bonviewIJCE52024908
Kimbra, E. (2025). Considerations for the use of artificial intelligence in the creation of lay summaries of clinical trial results. Medical Writing, 34(2), 74–80.
Lee, P. Y., Salim, H., Abdullah, A., & Teo, C. H. (2023). Use of ChatGPT in medical research and scientific writing. Malaysian Family Physician, 18, 58. https://doi.org/10.51866/cm0006
Liang, M. (2025). Ethical AI in medical text generation: Balancing innovation with privacy in public health. Frontiers in Public Health, 13, 1583507. https://doi.org/10.3389/fpubh.2025.1583507
Malik, M. A., Amjad, A. I., Aslam, S., & Fakhrou, A. (2024). Global insights: ChatGPT’s influence on academic and research writing, creativity, and plagiarism policies. Frontiers in Research Metrics and Analytics, 9, 1486832. https://doi.org/10.3389/frma.2024.1486832
Marie Balraj, B. (2025). Exploring the Use of ChatGPT in Academic Writing: A Systematic Literature Review on Undergraduates’ Perceptions. Arab World English Journal, 1, 348–357. https://doi.org/10.24093/awej/AI.20
Mei, P., Brewis, D. N., Nwaiwu, F., Sumanathilaka, D., Alva-Manchego, F., & Demaree-Cotton, J. (2025). If ChatGPT can do it, where is my creativity? Generative AI boosts performance but diminishes experience in creative writing. Computers in Human Behavior: Artificial Humans, 4, 100140. https://doi.org/10.1016/j.chbah.2025.100140
Rahmani, A. M., Azhir, E., Ali, S., Mohammadi, M., Ahmed, O. H., Yassin Ghafour, M., Hasan Ahmed, S., & Hosseinzadeh, M. (2021). Artificial intelligence approaches and mechanisms for big data analytics: A systematic study. PeerJ Computer Science, 7, e488. https://doi.org/10.7717/peerj-cs.488
Ray, P. P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003
Sharma, A., Rao, P., Ahmed, M. Z., & Chaturvedi, K. (2024). Artificial intelligence in scientific writing: Opportunities and ethical considerations. International Journal of Research in Medical Sciences, 13(1), 532–542. https://doi.org/10.18203/2320-6012.ijrms20244167
Yoo, J. H. (2025). Defining the Boundaries of AI Use in Scientific Writing: A Comparative Review of Editorial Policies. Journal of Korean Medical Science, 40(23), e187. https://doi.org/10.3346/jkms.2025.40.e187
Yu, S., Lee, S.-S., & Hwang, H. (2024). The ethics of using artificial intelligence in medical research. Kosin Medical Journal, 39(4), 229–237. https://doi.org/10.7180/kmj.24.140