Latest AI and machine learning research in nursing for healthcare professionals.
AIMS: This paper equips nursing and midwifery academics with strategies to assess student competence in an educational landscape shaped by generative artificial intelligence (GenAI). It examines assessment design approaches, highlighting the shift from tasks reliant on unenforceable rules (discursive changes) toward redesigning assessment mechanics (structural changes) to preserve validity. BACKGR...
PURPOSE OF REVIEW: ICU procedures are increasingly complex, often requiring deeper sedation or general anesthesia, and are increasingly performed at the bedside to avoid transport risk. This trend has expanded the role of anesthesiologists in ICU nonoperating room anesthesia (NORA). This review summarizes practical anesthetic considerations for these procedures, focusing on optimization, monitorin...
BACKGROUND: Telemedicine is conventionally modeled as a dyadic clinician-patient encounter, yet a third party-caregiver, community health worker, nurs...
To improve deep learning-based cuffless blood pressure (BP) estimation from photoplethysmography (PPG) for continuous, non-invasive monitoring wh...
BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges...
BACKGROUND: With the continuous advancement of technology, it is predicted that artificial intelligence technologies will be utilised more by academic...
ObjectiveTo explore factors associated with willingness to reuse rubber dam isolation after microscopic root canal treatment and develop an explorator...
BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC), but outcomes vary substantially, necessitating ...
Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...
This article was written to investigate technology-enabled nursing practice, with particular attention given to the integrated use of clinical decisio...
With the rapid integration of Artificial Intelligence (AI), the Internet of Things, and sensing technologies into healthcare, the nursing frontline is...
With global population aging and the increasing prevalence of chronic diseases, the traditional reactive medical model, which focuses on post-illness ...
AIM: To provide an early-stage integrative synthesis of shared and scenario-specific ethical risks of Conversational Artificial Intelligence in nursin...
PURPOSE: Older adults undergoing surgery are at high risk for adverse outcomes due to age-related vulnerabilities. Comprehensive geriatric assessment ...
BACKGROUND: High-quality National Council Licensure Examination (NCLEX) items are essential for preparing nursing students for licensure, yet nurse ed...
BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization acr...
PURPOSE: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain asse...
AIM: This study explores nursing educators' perspectives on the challenges and benefits of integrating generative artificial intelligence (AI) into nu...
BACKGROUND: AI-powered chatbots offer new opportunities to enhance patient education; however, their integration may reshape patterns of information i...