Harnessing AI for enhancing scientific writing in nursing research: Prospects, pitfalls, and solutions

Abstract

Prospects, pitfalls, and solutionsArtificial intelligence (AI) has been revolutionizing various domains of human endeavor, and the scientific writing landscape in nursing research is no exception (Davenport & Kalakota, 2019).Indeed, the increasing pervasiveness of AI tools for research writing offers significant advantages, but it also presents certain challenges.Nonetheless, with mindful use, these technologies can become pivotal for researchers, including those for whom English is a second language.AI software such as ChatGPT, developed by OpenAI, and other tools like RapidMiner, Copilot by SCISPACE and Iris.ai, offer immense potential for automating and streamlining various tasks related to research.RapidMiner, with its robust AI capabilities, can be used for data analysis, enabling researchers to efficiently identify patterns and trends in their data (Bjaoui et al., 2020).Copilot serves as an AI-driven research assistant, adept at elucidating text, mathematical equations, and tables present in scientific literature, including research papers, technical blogs, and reports.This innovative tool possesses the capability to pose pertinent follow-up queries and promptly provide insightful answers, thereby facilitating a comprehensive understanding of the material at hand.Iris.ai, on the other hand, is an AI research assistant that can expedite the literature review process by providing faster access to relevant academic papers, thereby facilitating a

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