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Generative AI Policies in Vascular Surgery Journals: Key Findings and Implications

Strategic Insights

— 1 min read

The integration of generative artificial intelligence (GenAI) into academic publishing presents both opportunities and challenges, particularly in the field of vascular surgery. A recent study conducted by researchers at the Cleveland Clinic Foundation examines the prevalence and characteristics of GenAI policies in vascular surgery journals, highlighting the need for standardized and enforceable editorial guidance to ensure ethical and transparent integration of GenAI into scholarly publishing.

Key Takeaways:

  • Of the 25 journals evaluated, 18 (72%) had explicit GenAI editorial policies, with all prohibiting authorship attribution to AI tools and emphasizing human responsibility.
  • Nineteen journals (76%) required disclosure of GenAI use, but only 14 (56%) specified disclosure location, while 13 (52%) addressed AI-generated images.
  • Journals permitting GenAI-assisted language editing had significantly higher H-indices (70.2 vs. 20.7; p = 0.0167), indicating a potential relationship between GenAI adoption and research quality.
  • SJR Q1/Q2 journals demonstrated more comprehensive policies than lower-tier journals (6.8 vs. 4.0 elements; p = 0.0094), suggesting a correlation between journal ranking and policy maturity.
  • U.S. and U.K.-based journals led in policy specificity, indicating a potential regional trend in GenAI adoption and policy development.
  • The study highlights inconsistencies in GenAI policies, underscoring the need for standardized editorial guidance to ensure ethical and transparent integration of GenAI into scholarly publishing.

Statistics:

  • 72% of evaluated journals had explicit GenAI editorial policies
  • 76% of journals required disclosure of GenAI use
  • 56% of journals specified disclosure location
  • 13 (52%) of journals addressed AI-generated images
  • 70.2 (p = 0.0167) was the H-index for journals permitting GenAI-assisted language editing
  • 6.8 (p = 0.0094) was the number of policy elements in SJR Q1/Q2 journals

Sources:

  • "Prevalence and Characteristics of Generative AI Policies in Vascular Surgery Journals: A Cross-Sectional Review." Annals of Vascular Surgery. 2025.
  • "Recent Studies from Cleveland Clinic Foundation Add New Data to Science (Prevalence and Characteristics of Generative AI Policies in Vascular Surgery Journals: A Cross-Sectional Review)." Medical Devices & Surgical Technology Week. October 26, 2025; p 1365.

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