在职业健康的同行评审过程中生成AI
G H Lim1, M L Tan2, V C W Hoe3
1Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549.
Occupational medicine (Oxford, England)
|July 2, 2025
概括
生成型人工智能工具增强了学术写作校验,比人类更有效地对反进行反. 虽然人类擅长推,但人工智能为手稿改进提供了显著的时间效率.
科学领域:
- 职业健康 职业健康 职业健康
- 学术出版学术出版学术出版
- 人工智能的人工智能
背景情况:
- 生成型人工智能 (AI) 工具可以显著改善学术手稿校对.
- 这项研究首次量化了人工智能在手稿审查中的有效性和效率.
研究的目的:
- 评估生成人工智能工具在对职业健康手稿草案提供反和建议方面的有效性和效率.
- 人工智能工具 (微软Copilot,ChatGPT,谷歌Gemini 1.0) 与人类审查员的比较.
主要方法:
- 手稿在2024年2月由人工智能工具和人类审稿人进行了审查.
- 专家小组通过相关性,完整性,准确性和建设性来评分反和建议.
- 通过审查时间来衡量效率;进行统计分析.
主要成果:
- 生成型人工智能工具在提供反方面显著更有效 (P < 0.001).
- 人类审查者在提供建议方面显著更好 (P < 0.01).
- 人工智能工具表现出卓越的时间效率,但需要对输出进行准确性验证.
结论:
- 生成型人工智能可以提高手稿的速度和准确性,改善职业健康领域的知识传播.
- 人工智能集成提供了在出版过程中提高效率的潜力.
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