Latest AI and machine learning research in nursing for healthcare professionals.
INTRODUCTION: Exercise interventions are widely used to promote physical and psychosocial health in community-dwelling older adults; however, the comparative effects of human-guided and artificial intelligence (AI)-based exercise delivery on sleep and cognitive outcomes remain insufficiently understood. This study compared the effects of human-guided versus AI-based exercise programmes on multiple...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, particularly in adult intensive care units (ICUs), yet nurses' knowledge, attitudes and concerns regarding AI remain insufficiently examined. This study aimed to assess ICU nurses' AI-related knowledge, attitudes and job-related concerns, and to explore associations among these variables. AIM: To assess ICU nurses...
BACKGROUND: Artificial intelligence (AI) is rapidly reshaping critical care through predictive analytics, intelligent monitoring and decision-support ...
BACKGROUND: Pain is a multifaceted and subjective phenomenon frequently experienced by patients in intensive care units. In non-communicating populati...
BACKGROUND: Cardiogenic shock (CS) is a critical condition of end-organ hypoperfusion with high mortality. Fluctuations in blood glucose (BG) levels m...
BACKGROUND: Nursing education faces challenges in providing nursing students with sufficient clinical site opportunities due to healthcare staffing sh...
PURPOSE OF REVIEW: Cardiogenic shock (CS) remains associated with high mortality despite advances in revascularization, pharmacological therapies and ...
PURPOSE: This study aimed to explore pediatric nurses' perceptions of using artificial intelligence in the education of children with chronic diseases...
BACKGROUND: As artificial intelligence (AI) becomes increasingly integrated into healthcare and nursing education, existing competency standards and t...
The integration of artificial intelligence (AI) into clinical medicine presents a persistent paradox: diagnostic models routinely demonstrate benchmar...
The rapid integration of artificial intelligence (AI) into healthcare is reshaping the clinical practice environment, demanding timely preparation of ...
Background: Artificial intelligence (AI) is rapidly transforming nursing education and clinical practice. As AI becomes increasingly embedded in healt...
Ventilator-induced lung injury continues to limit outcomes in patients with acute respiratory failure despite established lung-protective strategies.M...
PURPOSE: To evaluate the incidence of uterine tachysystole and determine if nurses' management of tachysystole using an artificial intelligence-enable...
BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial inte...
BACKGROUND: Postoperative delirium (POD) is a common and serious complication in older surgical patients, associated with increased morbidity, prolong...
We present MIMIC-III-Ext-PPG, a large-scale, quality-assessed photoplethysmography (PPG) dataset derived from the matched waveform subset of MIMIC-III...
Lung ultrasound (LUS) is increasingly utilized for diagnosing pediatric pneumonia due to its bedside accessibility, radiation-free nature, and high di...
BACKGROUND: Artificial intelligence (AI) is transforming nursing education by offering innovative strategies to support clinical judgment, engagement,...
BACKGROUND: Heath care and education have both experienced rapid growth in artificial intelligence (AI) use, especially with generative tools such as ...