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    Artificial intelligence (AI) is transforming scientific publishing, offering benefits like improved clarity but posing risks such as bias and security vulnerabilities. Responsible oversight is crucial for journals to balance AI innovation with scientific integrity.

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    Area of Science:

    • Medical Publishing
    • Scientific Communication
    • Academic Integrity

    Background:

    • Artificial intelligence (AI) is increasingly influencing scientific writing, peer review, and academic publishing.
    • While AI offers advantages like enhanced clarity and editorial screening, it introduces significant challenges.
    • Concerns include accuracy, bias, intellectual property, security, and potential manipulation of peer review.

    Purpose of the Study:

    • To review the legal, ethical, and practical challenges of AI in medical publishing.
    • To highlight emerging risks associated with AI, such as hidden prompts and data security.
    • To explore strategies for journals to balance AI innovation with responsible oversight.

    Main Methods:

    • Literature review of AI applications in scientific publishing.
    • Analysis of legal and ethical considerations.
    • Case study approach examining journal policies and emerging risks.

    Main Results:

    • AI presents both opportunities (e.g., improved accessibility) and substantial risks (e.g., bias, security).
    • Emerging risks include undisclosed AI use, prompt manipulation, and data security vulnerabilities.
    • Journals are developing policies to ensure transparency and maintain scientific rigor.

    Conclusions:

    • Balancing AI innovation with responsible oversight is essential for medical publishing.
    • Clear policies are needed to address AI's impact on authorship, peer review, and data integrity.
    • Proactive strategies are required to mitigate risks and uphold the credibility of scientific literature.