Artificial Intelligence in Medical Writing – Understanding the Fine Line Between Assistance and Academic Misconduct
DOI:
https://doi.org/10.51985/Abstract
The explosion of artificial intelligence (AI) in biomedical research and clinical documentation heralds a new era in medical writing.1,2,3 AI-driven tools, predominantly large language models (LLMs) like ChatGPT, GPT-4, DeepSeek, Scholar GPT and other natural language processing systems, have introduced unprecedented efficiency in generating, translating, summarizing, and editing medical content
References
1. Wang C, Liu S, Yang H, Guo J, Wu Y, Liu J. Ethical
Considerations of Using ChatGPT in Health Care. J Med
Internet Res. 2023; 25: e48009. https://www.jmir.org/2023/
1/e48009. DOI: 10.2196/48009.
2. Filippi CG, Stein JM, Wang Z, Bakas S, Liu Y, Chang PD,
Lui Y, Hess C, Barboriak DP, Flanders AE, Wintermark M,
Zaharchuk G, Wu O. Ethical Considerations and Fairness in
the Use of Artificial Intelligence for Neuroradiology. AJNR
Am J Neuroradiol. 2023; 44(11): 1242-1248. doi: 10.3174
/ajnr.A7963.
3. Grzybowski A, Jin K, Wu H. Challenges of artificial
intelligence in medicine and dermatology. Clin Dermatol.
2024; 42(3): 210-215. doi: 10.1016/j.clindermatol.2023.12.013.
4. Anders BA. Is using ChatGPT cheating, plagiarism, both,
neither, or forward thinking? Patterns (N Y). 2023; 4(3):
100694. doi: 10.1016/j.patter.2023.100694.
5. Liebrenz M, Schleifer R, Buadze A, Bhugra D, Smith A.
Generating scholarly content with ChatGPT: ethical challenges
for medical publishing. Lancet Digit Health. 2023; 5(3): e105-
e106. doi: 10.1016/S2589-7500(23)00019-5.
6. Hryciw BN, Seely AJE, Kyeremanteng K. Guiding principles
and proposed classification system for the responsible adoption
of artificial intelligence in scientific writing in medicine. Front
Artif Intell. 2023; 6: 1283353. doi: 10.3389/frai.2023.1283353.
7. Yang Y, Lin M, Zhao H, Peng Y, Huang F, Lu Z. A survey of
recent methods for addressing AI fairness and bias in
biomedicine. J Biomed Inform. 2024; 154: 104646. doi:
10.1016/j.jbi.2024.104646.
8. Hanna MG, Pantanowitz L, Jackson B, Palmer O, Visweswaran
S, Pantanowitz J, Deebajah M, Rashidi HH. Ethical and Bias
Considerations in Artificial Intelligence/Machine Learning.
Mod Pathol. 2025; 38(3): 100686. doi: 10.1016/j. modpat.
2024.100686.
9. Jeyaraman M, Ramasubramanian S, Balaji S, Jeyaraman N,
Nallakumarasamy A, Sharma S. ChatGPT in action: Harnessing
artificial intelligence potential and addressing ethical challenges
in medicine, education, and scientific research. World J
Methodol. 2023; 13(4): 170-178. doi: 10.5662/wjm.v13.i4.170.
10. Collins GS, Dhiman P, Andaur Navarro CL, et al. Protocol
for development of a reporting guideline (TRIPOD-AI) and
risk of bias tool (PROBAST-AI) for diagnostic and prognostic
prediction model studies based on artificial intelligence. BMJ
Open, 2021; 11: e048008. doi: 10.1136/bmjopen-2020-048008.
11. Naik N, Hameed BMZ, Shetty DK, Swain D, Shah M, Paul
R, Aggarwal K, Ibrahim S, Patil V, Smriti K, Shetty S, Rai
BP, Chlosta P, Somani BK. Legal and Ethical Consideration
in Artificial Intelligence in Healthcare: Who Takes
Responsibility? Front Surg. 2022; 9: 862322. doi:
10.3389/fsurg.2022.862322.
12. El Emam K, Jonker E, Arbuckle L, Malin B. A systematic
review of re-identification attacks on health data. PLoS One.
2011; 6(12): e28071. doi: 10.1371/journal.pone.0028071
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Journal of Bahria University Medical & Dental College is an open access journal and is licensed under CC BY-NC 4.0. which permits unrestricted non commercial use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0
