Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical pati...
We present MIMIC-III-Ext-PPG, a large-scale, quality-assessed photoplethysmography (PPG) dataset der...
Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside...
BACKGROUND: Artificial intelligence (AI) is transforming nursing education by offering innovative st...
BACKGROUND: Heath care and education have both experienced rapid growth in artificial intelligence (...
In this pilot study, which utilized a pretest/posttest design, baccalaureate nursing students used a...
BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and ...
BACKGROUND: Multimodal large language models (MLLMs) capable of integrating visual and textual infor...
BACKGROUND AND OBJECTIVE: Antimicrobial resistance is recognized by the World Health Organization as...
AIM: To explore nurses' lived experiences of a generative artificial intelligence-enabled shift hand...
This paper urges universities to form interdisciplinary partnerships between gerontology and enginee...
Postoperative drains are essential components of care in general surgery and intensive care units, w...
Aortic stenosis is associated with significant morbidity and mortality if left untreated. Nurse prac...
Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re...
BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks sensitive, objective staging tools to guide cl...
BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive....
This study aimed to identify key risk factors associated with high-somatization risk among frontline...