Abstract：
BACKGROUND: The integration of artificial intelligence (AI) across different sectors, notably healthcare, is on the rise. However, a thorough exploration of AI\'s incorporation into nursing research, as well as its advantages and obstacles, is still lacking.
OBJECTIVE: The aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.
METHODS: An exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA-ScR guidelines guided the processes of source selection, data extraction, and data presentation.
RESULTS: Twenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI\'s capabilities in data analysis and predictive modeling.
CONCLUSIONS: The review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders.
CONCLUSIONS: The findings emphasized AI\'s potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.
OBJECTIVE: The aim of this scoping review was to map the roles, benefits, challenges, and potentials for the future development and use of AI in the context of nursing research.
METHODS: An exhaustive search was conducted across seven databases: MEDLINE, PsycINFO, SCOPUS, Web of Science, CINAHL, Google Scholar, and ProQuest. Articles were additionally identified through manual examination of reference lists of the articles that were included in the study. The search criteria were restricted to articles published in English between 2010 and 2023. The Joanna Briggs Institute (JBI) approach for scoping reviews and the PRISMA-ScR guidelines guided the processes of source selection, data extraction, and data presentation.
RESULTS: Twenty articles met the inclusion criteria, covering topics from ethical considerations to methodological issues and AI\'s capabilities in data analysis and predictive modeling.
CONCLUSIONS: The review identified both the potentials and complexities of integrating AI into nursing research. Ethical and legal considerations warrant a coordinated approach from multiple stakeholders.
CONCLUSIONS: The findings emphasized AI\'s potential to revolutionize nursing research, underscoring the need for ethical guidelines, equitable access, and AI literacy training to ensure its responsible and inclusive use.
摘要：
背景：人工智能（AI）跨不同部门的集成，尤其是医疗保健，正在上升。然而,对人工智能融入护理研究的彻底探索，以及它的优势和障碍，仍然缺乏。
目的：这次范围审查的目的是绘制角色图，好处,挑战,以及在护理研究背景下人工智能未来发展和使用的潜力。
方法：在七个数据库中进行了详尽的搜索：MEDLINE，PsycINFO,Scopus,WebofScience,CINAHL,谷歌学者，和ProQuest。通过人工检查研究中包含的文章的参考列表，还确定了文章。搜索标准仅限于2010年至2023年之间以英文发表的文章。JoannaBriggsInstitute（JBI）用于范围审查的方法和PRISMA-ScR指南指导了来源选择的过程，数据提取,和数据呈现。
结果：20篇文章符合纳入标准，涵盖从道德考虑到方法论问题以及AI在数据分析和预测建模方面的能力等主题。
结论：该综述确定了将AI纳入护理研究的潜力和复杂性。道德和法律考虑需要多个利益相关者采取协调一致的方法。
结论：研究结果强调了AI在革新护理研究方面的潜力，强调道德准则的必要性，公平准入,和人工智能扫盲培训，以确保其负责任和包容性的使用。
目的：这次范围审查的目的是绘制角色图，好处,挑战,以及在护理研究背景下人工智能未来发展和使用的潜力。
方法：在七个数据库中进行了详尽的搜索：MEDLINE，PsycINFO,Scopus,WebofScience,CINAHL,谷歌学者，和ProQuest。通过人工检查研究中包含的文章的参考列表，还确定了文章。搜索标准仅限于2010年至2023年之间以英文发表的文章。JoannaBriggsInstitute（JBI）用于范围审查的方法和PRISMA-ScR指南指导了来源选择的过程，数据提取,和数据呈现。
结果：20篇文章符合纳入标准，涵盖从道德考虑到方法论问题以及AI在数据分析和预测建模方面的能力等主题。
结论：该综述确定了将AI纳入护理研究的潜力和复杂性。道德和法律考虑需要多个利益相关者采取协调一致的方法。
结论：研究结果强调了AI在革新护理研究方面的潜力，强调道德准则的必要性，公平准入,和人工智能扫盲培训，以确保其负责任和包容性的使用。
