Singh Shruti, Kumar Rajesh, Maharshi Vikas, Singh Prashant K, Kumari Veena, Tiwari Meenakshi, Harsha Divya
Pharmacology, All India Institute of Medical Sciences, Patna, Patna, IND.
General Surgery, All India Institute of Medical Sciences, Patna, Patna, IND.
Cureus. 2024 Oct 17;16(10):e71744. doi: 10.7759/cureus.71744. eCollection 2024 Oct.
Scientific medical manuscripts are fundamental to advancing research and enhancing patient care. With the emergence of artificial intelligence (AI), the process of composing such manuscripts has witnessed profound transformations. This review delves into the multifaceted role of AI in medical manuscript composition, analyzing its applications, benefits, drawbacks, and ethical implications. Employing a comprehensive narrative review methodology, we explored databases such as PubMed, Google Scholar, and Science Direct. The review charts the evolution of AI in medical writing, from basic word processing to sophisticated neural network-based models like GPT-3 and GPT-4. Various AI-powered tools such as ChatGPT, Google Bard, Elicit, and Consensus AI are examined in terms of their functionalities and contributions to research and medical writing. While AI technologies offer notable advantages in automating content creation and boosting research productivity, concerns persist regarding overreliance, potential homogenization of writing styles, and ethical considerations such as originality and authorship. Because of this concern, some companies are restricting the use of AI in peer review processes, medical examinations, etc. It is crucial to strike a balance in integrating AI tools, ensuring human oversight, conducting thorough algorithm audits, addressing financial implications, and upholding academic integrity. The review underscores the transformative potential of AI in medical manuscript composition while emphasizing the ongoing significance of human expertise, creativity, and ethical responsibility in scientific communication. Recommendations are provided for the effective integration of AI tools into medical writing processes, emphasizing collaborative efforts between AI developers, researchers, and journal editors to navigate ethical dilemmas and maximize the benefits of AI-driven advancements in scientific publishing.
科学医学手稿对于推进研究和改善患者护理至关重要。随着人工智能（AI）的出现，撰写此类手稿的过程发生了深刻变革。本综述深入探讨了AI在医学手稿撰写中的多方面作用，分析了其应用、益处、缺点及伦理影响。我们采用全面的叙述性综述方法，检索了诸如PubMed、谷歌学术和科学Direct等数据库。该综述梳理了AI在医学写作中的发展历程，从基本的文字处理到诸如GPT-3和GPT-4等基于复杂神经网络的模型。对各种由AI驱动的工具，如ChatGPT、谷歌巴德、Elicit和共识AI，就其功能以及对研究和医学写作的贡献进行了审视。虽然AI技术在自动化内容创作和提高研究生产力方面具有显著优势，但对于过度依赖、写作风格可能的同质化以及诸如原创性和作者身份等伦理考量的担忧依然存在。由于这种担忧，一些公司正在限制AI在同行评审过程、医学检查等中的使用。在整合AI工具时，在确保人工监督、进行全面的算法审核、解决财务影响以及维护学术诚信方面取得平衡至关重要。该综述强调了AI在医学手稿撰写中的变革潜力，同时强调了人类专业知识、创造力和科学交流中的伦理责任的持续重要性。为有效将AI工具整合到医学写作过程中提供了建议，强调了AI开发者、研究人员和期刊编辑之间的合作努力，以应对伦理困境并最大限度地提高AI驱动的科学出版进步的益处。
