Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration
Background Large language models (LLMs), the most recent advancements in artificial intelligence (AI), have profoundly affected academic publishing and raised important ethical and practical concerns. This study examined the prevalence and content of AI guidelines in Korean medical journals to asses...
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Yeungnam University College of Medicine, Yeungnam University Institute Medical Science
2025-01-01
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| Series: | Journal of Yeungnam Medical Science |
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| Online Access: | http://www.e-jyms.org/upload/pdf/jyms-2024-00794.pdf |
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| author | Sangzin Ahn |
| author_facet | Sangzin Ahn |
| author_sort | Sangzin Ahn |
| collection | DOAJ |
| description | Background Large language models (LLMs), the most recent advancements in artificial intelligence (AI), have profoundly affected academic publishing and raised important ethical and practical concerns. This study examined the prevalence and content of AI guidelines in Korean medical journals to assess the current landscape and inform future policy implementation. Methods The top 100 Korean medical journals determined by Hirsh index were surveyed. Author guidelines were collected and screened by a human researcher and AI chatbot to identify AI-related content. The key components of LLM policies were extracted and compared across journals. The journal characteristics associated with the adoption of AI guidelines were also analyzed. Results Only 18% of the surveyed journals had LLM guidelines, which is much lower than previously reported in international journals. However, the adoption rates increased over time, reaching 57.1% in the first quarter of 2024. High-impact journals were more likely to have AI guidelines. All journals with LLM guidelines required authors to declare LLM tool use and 94.4% prohibited AI authorship. The key policy components included emphasizing human responsibility (72.2%), discouraging AI-generated content (44.4%), and exempting basic AI tools (38.9%). Conclusion While the adoption of LLM guidelines among Korean medical journals is lower than the global trend, there has been a clear increase in implementation over time. The key components of these guidelines align with international standards, but greater standardization and collaboration are needed to ensure the responsible and ethical use of LLMs in medical research and writing. |
| format | Article |
| id | doaj-art-70e17fd199f040dd9af7967160d7931f |
| institution | Kabale University |
| issn | 2799-8010 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Yeungnam University College of Medicine, Yeungnam University Institute Medical Science |
| record_format | Article |
| series | Journal of Yeungnam Medical Science |
| spelling | doaj-art-70e17fd199f040dd9af7967160d7931f2025-02-11T06:26:37ZengYeungnam University College of Medicine, Yeungnam University Institute Medical ScienceJournal of Yeungnam Medical Science2799-80102025-01-014210.12701/jyms.2024.007942877Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaborationSangzin Ahn0 Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, KoreaBackground Large language models (LLMs), the most recent advancements in artificial intelligence (AI), have profoundly affected academic publishing and raised important ethical and practical concerns. This study examined the prevalence and content of AI guidelines in Korean medical journals to assess the current landscape and inform future policy implementation. Methods The top 100 Korean medical journals determined by Hirsh index were surveyed. Author guidelines were collected and screened by a human researcher and AI chatbot to identify AI-related content. The key components of LLM policies were extracted and compared across journals. The journal characteristics associated with the adoption of AI guidelines were also analyzed. Results Only 18% of the surveyed journals had LLM guidelines, which is much lower than previously reported in international journals. However, the adoption rates increased over time, reaching 57.1% in the first quarter of 2024. High-impact journals were more likely to have AI guidelines. All journals with LLM guidelines required authors to declare LLM tool use and 94.4% prohibited AI authorship. The key policy components included emphasizing human responsibility (72.2%), discouraging AI-generated content (44.4%), and exempting basic AI tools (38.9%). Conclusion While the adoption of LLM guidelines among Korean medical journals is lower than the global trend, there has been a clear increase in implementation over time. The key components of these guidelines align with international standards, but greater standardization and collaboration are needed to ensure the responsible and ethical use of LLMs in medical research and writing.http://www.e-jyms.org/upload/pdf/jyms-2024-00794.pdfartificial intelligencemedical writingresearch ethicsscholarly communicationscientific misconduct |
| spellingShingle | Sangzin Ahn Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration Journal of Yeungnam Medical Science artificial intelligence medical writing research ethics scholarly communication scientific misconduct |
| title | Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration |
| title_full | Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration |
| title_fullStr | Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration |
| title_full_unstemmed | Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration |
| title_short | Large language model usage guidelines in Korean medical journals: a survey using human-artificial intelligence collaboration |
| title_sort | large language model usage guidelines in korean medical journals a survey using human artificial intelligence collaboration |
| topic | artificial intelligence medical writing research ethics scholarly communication scientific misconduct |
| url | http://www.e-jyms.org/upload/pdf/jyms-2024-00794.pdf |
| work_keys_str_mv | AT sangzinahn largelanguagemodelusageguidelinesinkoreanmedicaljournalsasurveyusinghumanartificialintelligencecollaboration |