Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is transforming higher education and healthcare, yet nursing faculty lack practical guidance for determining appropriate AI use in specific academic tasks. Institutional AI policies establish boundaries but rarely address learning outcomes, task purposes, or nursing-specific responsibilities such as patient privacy, clinical judgment development, and profes...
Accurate, timely pain assessment in neonates remains a stubborn yet critical challenge in neonatal intensive care units (NICUs), where conventional observational scales suffer from subjectivity, intermittent use, and uneven inter-rater reliability. We propose a Multi-Scale Attention Fusion Network (MSAFNet) for automated neonatal pain facial expression recognition, and validate it in an authentic ...
AIM: To examine the overall performance of large language models (LLMs) in generating nursing care plans, clarify their role in nursing practice and i...
OBJECTIVES: Chronic conditions represent a growing global health challenge, requiring ongoing management in which patients play an active role. Althou...
BACKGROUND: Artificial intelligence (AI) is conquering medicine in many fields. With geriatric patients, it is important not only to understand the de...
AI is rapidly entering the operating room, both as a clinical tool and as increasingly autonomous systems. In this News and Perspectives article, JMIR...
AIM: To explore how nursing students described and interpreted their use of generative artificial intelligence in relation to workplace violence durin...
Background and Purpose: Artificial intelligence (AI) is increasingly used in nursing education and clinical practice. Fear of AI among nursing student...
OBJECTIVE: This scoping review will map the scope and nature of the available evidence on the use of artificial intelligence-based clinical decision s...
AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and...
Artificial intelligence is reshaping how nursing professional development practitioners design education, communicate change, and manage complex workf...
OBJECTIVE: Emergency department (ED) triage determines patient prioritization, early risk recognition, and allocation of limited resources. Artificial...
AIM: To propose an ethical decision-making framework for artificial intelligence (AI) involvement in person-centred fundamental care, organised around...
AIM: To describe the rapid evolution of emerging digital technologies in oncology nursing and clarify the essential informatics competencies required ...
Nursing professional development (NPD) practitioners face increasing challenges synthesizing evidence for accredited continuing education amid expandi...
AIM: To examine how artificial intelligence (AI) influences the definition, enactment and preservation of person-centred fundamental care in healthcar...
AIMS: To examine how artificial intelligence (AI) reconfigures the conditions under which sexual health is recognized, articulated, and addressed in c...
BACKGROUND: Large language models (LLMs) are increasingly used in health care, with emerging applications in clinical decision support and nursing edu...
PURPOSE: Childhood accidents are among the leading causes of injury during early childhood. This study aimed to evaluate and compare the accuracy, cla...
BACKGROUND: Accurate early prognostication in patients with acute brain injury remains a major challenge in neurocritical care. Conventional bedside a...