Objective:To explore the research status of artificial intelligence in nursing in China, so as to provide reference for conducting research domestically.Methods:The relevant literature collected from January 1, 2003 to May 1, 2023 was searched on China National Knowledge Infrastructure, WanFang Data, and VIP. CiteSpace and VOS viewer were used to visually analyze the research status, hotspots, and frontiers of artificial intelligence in nursing in China from the aspects of annual publication volume, region, institution, author, high-frequency keywords, and emerging words.Results:A total of 494 articles were included. In terms of publication volume, domestic research showed an overall upward trend, with publishing institutions mostly concentrated in economically developed and medically advanced regions. The authors of the articles often collaborated with research groups, with a co-authorship rate of 81.17% (401/494), but there was relatively little collaboration between groups. Research hotspots were focused on the application of artificial intelligence in geriatric nursing, rehabilitation nursing, Operating Rooms, and drug formulation, with a majority of research related to robots.Conclusions:The research enthusiasm in related fields in China is currently on the rise. Research on artificial intelligence in nursing management, nursing education, and psychological nursing can be strengthened, and the application of artificial intelligence can be enriched. At the same time, research institutions and personnel should strengthen mutual cooperation, and relevant national departments should improve laws and regulations to promote the vigorous development of this research field.

Objective:To analyze the current research status of ideological and political education content in domestic nursing courses and facilitate nursing education reform.Methods:Using purposeful sampling, 25 exemplary cases of ideological and political education in nursing courses from Xinhua Net were selected. NVivo 12 software was employed for content analysis, summarizing the ideological and political elements, carriers of these elements, and types of integration methods in nursing courses.Results:Nursing educators have thoroughly explored ideological and political elements, with the most attention given to professional ethics, though less focus was placed on personality development. A variety of carriers for ideological and political elements were utilized, with practical experience being the most common, but there was a lack of integration with policy and regulations. Various integration methods were applied, with interactive methods being the most frequently used, while practical approaches were less common.Conclusions:Future nursing education should emphasize fostering students' sense of national identity and focus more on personality development. It is important to promote a more balanced use of carriers for ideological and political elements, paying particular attention to policy-related content. The use of information technology in teaching should also be explored to flexibly apply various teaching methods, achieving the subtle integration of ideological and political education within nursing curricula.