Artificial intelligence (AI) and machine learning (ML) are emerging as transformative tools in healthcare, with significant potential to enhance nursing practice, particularly in intensive care units (ICUs). ICUs pose complex challenges, including high patient acuity, ICU delirium, and nurse workload. These factors demand innovative technological solutions.
ICU‐acquired weakness (ICU‐AW) is a common and debilitating complication among critically ill patients, particularly those undergoing major surgery. Early identification of patients at high risk of ICU‐AW may facilitate timely preventive strategies and targeted rehabilitation interventions.
ECMO is used to deliver cardiopulmonary support in extreme failure where standard therapies are unfruitful. Although ECMO is associated with high costs and significant risks, advances in technology and clinical management have improved its safety and patient outcomes. AI/ML may provide decision support through data ana...
Z. Asadi, Mahmoud Shiri Kahnouei, Fathiyeh Bahramnejad et al.· Health Science Reports· 0 citations
Threats of workforce displacement and ethical uncertainty accompany the use of artificial intelligence in palliative care and nursing in general. Diminished human connection is also a major concern for healthcare professionals. However, these technologies also offer opportunities to enhance personalised and equitable c...
D. Smyth· British Journal of Community...· 0 citations
The rapid integration of Artificial Intelligence (AI) into healthcare and medical education has transformed the way future nurses develop professional communication skills. This paper explores the role of AI in enhancing communication competence among nursing students, focusing on the use of intelligent tutoring system...
Drd Adriana Slusar· International journal of res...· 0 citations
Acute respiratory failure requiring intensive care is frequently accompanied by hemodynamic instability, necessitating vasoactive pharmacologic support, and elevated mortality. We aimed to develop and validate a machine learning model to stratify all‐cause in‐hospital mortality risk in ICU patients with respiratory fai...
M. Fathi, Hamed Markazi Moghadam, Mahdis Fathi et al.· Health Science Reports· 0 citations
The role of AI in nursing practice, its impact on patient care and clinical decision-making, applications in nursing education, advantages, challenges, ethical considerations, and future implications for the nursing profession are discussed.
Sumit Padihar, Sunita Joshi, Ratna Parmar et al.· Genetics and Molecular Resea...· 0 citations
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