As the nursing community continues to expand its use and understanding of AI-driven research, education, and clinical care, CIN’s special issue offers insight into the growth of AI in nursing. The articles cover reviews, field tests, feasibility studies, and empirical research to further understand this technology. Furthermore, studies included in this issue are from the clinical and educational settings.
The article titled "Data-Centric Machine Learning in Nursing: A Concept Clarification," provides explanations on data-centric machine learning in nursing, and explores the distinction of this method compared to other approaches such as model-centric machine learning.
We are happy to offer nursing professional development credits for this selection. Head to CEConnection for all the tests, contact hour information, and additional CE activities in Nursing Informatics and other specialties!
Another article in the issue, "Foundation Models, Generative AI, and Large Language Models: Essentials to Nursing," investigates fundamental aspects of foundation models, generative AI, and large language models which may assist readers as they learn to navigate the emerging role of AI in our field.
This AI-focused issue also includes the use of ensemble-based machine learning to develop a predictive model for survival in patients with cardiac arrest outside of a hospital; a scoping review related to use of AI to identify optimal practice patterns; and a field-testing study related to developing a teaching assistant system for undergraduate nursing students. We are excited to share this special issue with you! See it here: https://journals.lww.com/cinjournal/Pages/currenttoc.aspx