大型语言模型对医学写作和出版的变革性影响:当前的应用,挑战和未来的方向
Sangzin Ahn1,2
1Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea.
概括
大型语言模型 (LLM) 正在改变医学写作. 负责任的使用和明确的政策对于保持人工智能辅助学术研究和出版的完整性至关重要.
科学领域:
- 医学写作 医学写作
- 学术出版学术出版公司
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 在科学写作中越来越普遍.
- 调查表明,广泛采用具有好处和挑战.
研究的目的:
- 提供在学术研究和出版领域的LLM应用的全面概述.
- 检查LLM在学术过程中的挑战和未来影响.
主要方法:
- 对LLM申请的实验证据的审查.
- 对LLM在科学写作中的使用进行全球调查数据的分析.
主要成果:
- 在文学搜索,研究设计,写作,质量评估,引用和数据分析中应用LLM.
- 在同行评审,手稿选,评论生成和偏见识别方面,LLM有助于.
结论:
- 负责任的AI使用,准确性验证和透明度对于LLM辅助研究至关重要.
- 利益相关方的合作对于平衡LLM潜力与医学写作和出版的完整性至关重要.
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