Purpose: The purpose of this study was to identify the main keywords, network properties, and main topics of news articles related to artificial
intelligence technology in the field of nursing. Methods: After collecting artificial intelligence-and nursing-related news articles published
between January 1, 1991, and July 24, 2022, keywords were extracted via preprocessing. A total of 3,267 articles were searched, and
2,996 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4. Results: As a result of
analyzing the frequency of appearance, the keywords used most frequently were education, medical robot, telecom, dementia, and the
older adults living alone. Keyword network analysis revealed the following results: a density of 0.002, an average degree of 8.79, and an
average distance of 2.43; the central keywords identified were ’education,’ ‘medical robot,’ and ‘fourth industry.’ Five topics were derived
from news articles related to artificial intelligence and nursing: ‘Artificial intelligence nursing research and development in the health and
medical field,’ ‘Education using artificial intelligence for children and youth care,’ ‘Nursing robot for older adults care,’ ‘Community care
policy and artificial intelligence,’ and ‘Smart care technology in an aging society.’ Conclusion: The use of artificial intelligence may be helpful
among the local community, older adult, children, and adolescents. In particular, health management using artificial intelligence is indispensable
now that we are facing a super-aging society. In the future, studies on nursing intervention and development of nursing programs
using artificial intelligence should be conducted.