导航人工智能前沿:在骨科同行评审中平衡效率和完整性
Raju Vaishya1, Vijay Kumar Jain2
1Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, 110076, India.
Journal of clinical orthopaedics and trauma
|September 11, 2025
概括
人工智能 (AI) 在骨科同行评审中提供了效率,但存在诸如偏见和保密性侵犯等风险. 人类监督对于保持研究完整性至关重要.
科学领域:
- 整形外科的研究.
- 医学期刊出版 医学期刊出版
- 人工智能应用的人工智能应用.
背景情况:
- 人工智能 (AI) 整合到骨科同行评审中,既带来了机遇,也带来了挑战.
- 人工智能工具有望提高手稿评估过程的效率和速度.
研究的目的:
- 探索人工智能对骨科同行评审者的责任的影响.
- 在同行评审中识别与AI相关的潜在风险,包括保密性和偏见放大.
- 强调人工智能辅助同行评审中人类监督,透明度和适应能力的必要性.
主要方法:
- 这是一篇社论,而不是一篇研究报告.
- 讨论和分析当前趋势以及人工智能在骨科同行评审中的潜在未来影响.
主要成果:
- 人工智能可以显著简化骨科手稿的同行评审过程.
- 潜在的风险包括侵犯机密性和扩大审查系统中现有的偏见.
- 人工智能的有效性取决于仔细的实施和管理.
结论:
- 人类的监督,透明度和适应能力对于减轻与人工智能相关的风险至关重要.
- 保持严格的骨科研究的完整性,需要对人工智能采用采取平衡的方法.
- 在骨科中对同行评审的未来需要人工智能工具和人类专业知识之间的协作努力.
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