Knowledge Cut‐Off in Large Language Models: Implications for Critical Care Nursing

2026/03/30 by Sameh Eltaybani · 1 voice
Health Professions · Medicine · #Cardiac Arrest and Resuscitation #Interpreting and Communication in Healthcare #Simulation-Based Education in Healthcare

paper · doi:10.1111/nicc.70458

crossref issued 2026/03/30 · crossref published 2026/03/30 · crossref published-online 2026/03/30 · openalex publication_date 2026/03/30 · crossref created 2026/03/30 · openalex created_date 2026/03/31 · openalex updated_date 2026/03/31 · crossref published-print 2026/05/01 · crossref deposited 2026/07/10 · crossref indexed 2026/07/10

Citations

• Capabilities and limitations of large language models in critical care nursing research: Examples from the big three
• AI in Nursing Publishing Opportunities, Perils and Professionalism
• Dated Data: Tracing Knowledge Cutoffs in Large Language Models

Discussions

• 🧠 AI in Critical Care As LLMs become embedded in clinical, education and research settings, an often overlooked issue emerges: knowledge cut-off. This commentary unpacks the concept and its implica [bsky, 0 points, 0 comments]