Abstract
Background: Artificial intelligence (AI) is revolutionizing Endocrinology research by enhancing data analysis, systematic reviews, and clinical applications. However, its application raises concerns regarding transparency, ethical use, and reproducibility. This study evaluates how leading journals in the field of Endocrinology address these challenges and opportunities through their author instructions and policies.
Methods: A cross-sectional review of the top 100 peer-reviewed Endocrinology journals ranked by the 2023 SCImago SJR indicator was conducted. Data were extracted from each journal’s “Instructions for Authors” to evaluate AI-related policies, including AI-specific reporting guidelines, authorship criteria, and the use of AI in manuscript preparation and image generation. Correlational analyses were performed to explore the relationship between AI policies and journal characteristics.
Results: Of the 100 journals evaluated, 76% addressed AI use in their instructions, with most prohibiting AI authorship while requiring disclosure of AI involvement in submissions. AI-generated content was allowed by 30% of the journals, while 65% approved AI-generated images. Journals with higher impact factors were more likely to include detailed AI policies, but significant gaps in standardization and guidance remain.
Conclusion: While many Endocrinology journals recognize AI’s role in research, few endorse AI-specific RGs, limiting the standardization and transparency of AI use. We advocate for the adoption of comprehensive guidelines to promote ethical, reproducible, and high-quality research in the era of AI-driven innovation.
Methods: A cross-sectional review of the top 100 peer-reviewed Endocrinology journals ranked by the 2023 SCImago SJR indicator was conducted. Data were extracted from each journal’s “Instructions for Authors” to evaluate AI-related policies, including AI-specific reporting guidelines, authorship criteria, and the use of AI in manuscript preparation and image generation. Correlational analyses were performed to explore the relationship between AI policies and journal characteristics.
Results: Of the 100 journals evaluated, 76% addressed AI use in their instructions, with most prohibiting AI authorship while requiring disclosure of AI involvement in submissions. AI-generated content was allowed by 30% of the journals, while 65% approved AI-generated images. Journals with higher impact factors were more likely to include detailed AI policies, but significant gaps in standardization and guidance remain.
Conclusion: While many Endocrinology journals recognize AI’s role in research, few endorse AI-specific RGs, limiting the standardization and transparency of AI use. We advocate for the adoption of comprehensive guidelines to promote ethical, reproducible, and high-quality research in the era of AI-driven innovation.
| Original language | American English |
|---|---|
| State | Published - 14 Feb 2025 |
| Event | Oklahoma State University Center for Health Sciences Research Week 2025 - Oklahoma State University Center for Health Sciences, Tulsa, United States Duration: 10 Feb 2025 → 14 Feb 2025 https://medicine.okstate.edu/research/research_days.html |
Conference
| Conference | Oklahoma State University Center for Health Sciences Research Week 2025 |
|---|---|
| Country/Territory | United States |
| City | Tulsa |
| Period | 10/02/25 → 14/02/25 |
| Internet address |
Keywords
- Artificial Intelligence
- authorship
- transparency
- reporting guidelines
- endocrinology