Latest AI and machine learning research in nursing for healthcare professionals.
This paper reports findings from a qualitative descriptive study exploring the potential use of service robots in nursing homes. Participants in three workshops expressed optimism and creativity regarding the role of robots in supporting a variety of tasks, including housekeeping, transportation, monitoring, and entertainment. These findings align with previous research that identified similar tas...
AIM: This study aimed to evaluate the preliminary effectiveness of a ChatGPT-integrated educational session on nursing students' knowledge acquisition and retention regarding endotracheal suctioning, and to explore their perspectives and learning experiences. METHODS: A pilot pre-test/post-test parallel-group randomized controlled trial with an embedded qualitative component was conducted with 32 ...
BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster than programs can respond, raising questions about p...
BACKGROUND: Early warning systems (EWSs) help clinicians identify deteriorating patients using clinical data, such as vital signs. However, standard s...
BACKGROUND: Currently, there is a growing body of research examining the role of generative Artificial Intelligence (GenAI) in medical undergraduate e...
OBJECTIVES: The nursing management of adult urology patients in day surgical settings has undergone rapid development. This study aimed to (1) retriev...
BACKGROUND: Artificial intelligence (AI) has been widely incorporated in the education domain for offering adaptive learning, personalized feedback an...
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliabil...
OBJECTIVE: To develop and validate dynamic machine-learning models to predict 6-month adverse outcomes in intermittent claudication (IC), enabling ris...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival outcomes. Liqu...
Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...
BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often cannot describe their condition and there is a sh...
OBJECTIVE: To explore the clinical value of AI-assisted pulmonary rehabilitation education in patients undergoing thoracoscopic surgery for lung cance...
Nystagmus is a key indicator of vestibular disorders, including benign paroxysmal positional vertigo (BPPV). Accurate diagnosis of BPPV is essential, ...
INTRODUCTION: Digital technologies and artificial intelligence are rapidly transforming emergency nursing, raising concerns about how nurses can susta...
BACKGROUND: Electrocardiogram (ECG) interpretation is a critical yet challenging skill for nurses. Generative artificial intelligence (AI) offers pote...
BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet its complexity poses challenges in visualization ...
BACKGROUND: ccurate and structured medical history taking is essential in neurosurgical practice, but repetitive inpatient interviews can be time-cons...
BACKGROUND: Frailty significantly complicates clinical outcomes in older adults with acute myocardial infarction, yet its progression is dynamic and h...