Latest AI and machine learning research in nursing for healthcare professionals.
Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of surgical trauma, one-lung ventilation, cardiopulmonary bypass, and sternotomy. This review evaluates the critical role of real-time bedside imaging-specifically lung ultrasound and electrical impedance tomography-in transitioning from empirical, fixed...
OBJECTIVE: The study aims to develop an artificial intelligence (AI) framework for automatic pressure injury (PI) staging directly from raw clinical images, without requiring manual lesion localisation. By integrating a two-stage deep learning approach-combining object detection and image classification-the proposed system seeks to improve diagnostic accuracy, reduce subjectivity and support consi...
OBJECTIVE: There are no randomized controlled trial (RCT) in the current literature comparing live, robotic, and visual animal-based therapies. This s...
This article explores the evolution of the Certified Registered Nurse Anesthesiologist (CRNA) profession, from its origins during wartime medicine to ...
Powerful tools are transforming nursing work faster than we understand.
BACKGROUND: Parricide is an exceptionally rare phenomenon, constituting approximately 2% to 3% of all homicides in the United States. Double parricide...
BACKGROUND: Human anatomy is a foundational and indispensable subject within health sciences education, particularly for students pursuing careers in ...
BACKGROUND: Most machine learning models for aortic dissection predict mortality but do not address treatment-effect heterogeneity, fairness, or bedsi...
BACKGROUND: Artificial intelligence (AI) transforms healthcare delivery by improving patient outcomes and operational efficiencies. In pediatric nursi...
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome rather than a single disease. Patients who meet the same diagnostic cr...
INTRODUCTION: Artificial intelligence (AI) is transforming healthcare through enhanced computational capabilities that process vast amounts of data wi...
BACKGROUND: In health care organizations in which silence is the norm, questionable competence, rule-breaking, and mistakes ("crucial moments") often ...
AIM: To evaluate clinical reasoning outcomes and the usability and feasibility of an AI-supported platform that uses a large language model (LLM) to f...
PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...
BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains complex due to organizational constraints, interp...
BACKGROUND: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, ...
Neurocritical care relies on continuous assessment of neurological function and physiology under time pressure, yet bedside teams must interpret high-...
BACKGROUND: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly used in academic research, yet evidence on postgraduate stu...