Knowledge and Perception regarding Artificial Intelligence (AI) Application among Staff Nurses in the Critical Care Unit: Considering that although AI adoption in Indian healthcare is already about 47 percent, yet 58 percent of nurses demonstrate inadequate knowledge regarding AI applications in critical care, Nisha Singh et al conducted a cross-sectional study among 300 staff nurses of critical care units at a premier hospital in New Delhi. Only 10 percent displayed a comprehensive understanding. To derive maximal potential benefits of AI in improving patient outcomes and efficiency, this knowledge gap needs to be addressed via education and training.

Patients Need Identification Based on the NANDA-I Taxonomy II among Patients Admitted in Intensive Care Unit: Based on a cross-sectional study of 114 ICU patients, Sakshi Tripathi et al collected data using a self-structured Five-point Likert Scale based on 13 domains of selected classes in NANDA-I, Taxonomy II (standardised nursing terminology). Authors recommend that NANDA I taxonomy II should be used efficiently in ICUs by nursing staff for planning individualised nursing care by extending its scope beyond considering biological aspects.

Branching Path Simulation: A Revolutionary Approach in Nursing Education: Compared to traditional linear system of nursing education, Simulation Learning System (SLS), espoused globally, fosters clinical reasoning, critical thinking, and decision-making skills in real time. Students experience direct outcome of their choices in a virtual, safe environment. Based on complexity or length, branching simulation can be short, moderate or long. In this review article, Ramdinmawii dwells on the types of branching path simulations (decision-based/ probabilistic or stochastic/ statedependent or conditional branching. This also promotes a deep understanding of patient intricacies and interprofessional collaboration.