Latest AI and machine learning research in nursing for healthcare professionals.
Limited research has examined safety features in nonhospital settings for adolescents experiencing behavioral health crises, including the crisis stabilization unit (CSU). This mixed-methods study investigated safety through design features (eg, open versus semi-enclosed nursing stations) in an adolescent CSU with experts (clinicians and health care designers) and design trainees (N = 17) using ph...
BACKGROUND: In the era of artificial intelligence (AI), nursing science has the potential to enable transformative change in healthcare driven by the nursing clinical focus, its deep commitment to improving patient and family outcomes, its legacy of compassion, and tradition of creative innovation. PURPOSE: Inspired by discussions from a 2-day interdisciplinary workshop with experts in nursing, me...
AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional sta...
OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...
The academic nursing community across Canada and worldwide relies on literature with technically accurate terms. Despite this, scientific literature c...
INTRODUCTION: Artificial intelligence (AI) has advanced rapidly in healthcare; however, its application in emergency nursing remains underexplored. Th...
BACKGROUND: Upper and lower extremity lymphedema is a chronic, progressive condition that significantly impairs the quality of life of affected patien...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited t...
Cancer remains a leading cause of human mortality worldwide, imposing a substantial public health burden. A deep understanding of the tumor microenvir...
BACKGROUND/INTRODUCTION: Variability in student and faculty experiences with quality improvement and system change at an Upper Midwestern university l...
AIM: To reveal the potential of artificial intelligence-based educational applications in increasing the knowledge level and application skills of old...
BACKGROUND Artificial intelligence (AI) is increasingly explored as a clinical decision-support tool in nephrology; however, its real-world applicabil...
Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution...
Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Cla...
PURPOSE OF REVIEW: Hemodynamic monitoring has undergone a profound transformation over the last 30 years. The field has transitioned from the "standar...
This review delineates the pivotal role of nursing and rehabilitation in perioperative management and chemotherapy support for lung cancer patients, w...
Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists...
BACKGROUND: This article explores how nursing professional development (NPD) practitioners can use artificial intelligence (AI) and generative artific...