Nursing

A Pilot Study Exploring the Use of Generative Artificial Intelligence in Nursing Education.

In this pilot study, which utilized a pretest/posttest design, baccalaureate nursing students used artificial intelligence to generate a case scenario and nursing care plan and analyzed the content for accuracy, bias, and holistic nursing practices. The authors found that students had statistically significant improvements in their perceived ability to identify accurate nursing content, bias, and ...

Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.

BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and clinical practice. However, its use during clinical placements, where cognitive demands and responsibility for patient care increase, remains insufficiently documented. OBJECTIVE: This study aimed to characterize self-reported GenAI use during clinical placements, perceived benefits and risks, and r...

The Power of Multimodality in Multimodal Large Language Models, Unimodal ChatGPT 5.0, and Human Clinical Experts on a Wound Care Certification Examination: Cross-Sectional Comparative Study.

BACKGROUND: Multimodal large language models (MLLMs) capable of integrating visual and textual information represent a promising advancement for clini...

Antibiotic resistance prediction with an attention-based bi-LSTM clinical decision support system.

BACKGROUND AND OBJECTIVE: Antimicrobial resistance is recognized by the World Health Organization as a significant global health threat. In clinical p...

Nurses' Lived Experiences of Generative Artificial Intelligence-Enabled Shift Handover Innovation: A Descriptive Phenomenological Study.

AIM: To explore nurses' lived experiences of a generative artificial intelligence-enabled shift handover innovation. DESIGN: A descriptive phenomenolo...

Creating gerotechnologists: a call to action for university-based collaboration bridging gerontology and engineering.

This paper urges universities to form interdisciplinary partnerships between gerontology and engineering programs to develop curricula, mentor student...

Automated estimation of drain output in postoperative patients using deep learning on clinical images.

Postoperative drains are essential components of care in general surgery and intensive care units, where accurate monitoring of drain output is critic...

Evaluation of nursing performance during coronary artery bypass grafting surgeries using machine learning analysis of surgical videos: a multicenter retrospective study.

Artificial intelligence for early detection of aortic stenosis: The emerging role of NPs.

Aortic stenosis is associated with significant morbidity and mortality if left untreated. Nurse practitioners in primary care are uniquely positioned ...

Understanding undergraduate nursing students' learning journeys with artificial intelligence: a journey mapping study.

Functional cortical network alterations in Parkinson's disease with wearing-off revealed by resting-state fNIRS and graph theory.

Wearing-off (WO) is a common motor complication in Parkinson's disease (PD), characterized by the re-emergence of symptoms before the next dose of dop...

Predicting amyotrophic lateral sclerosis stage based on multi-parameter ultrasound: development and validation of an interpretable machine learning model.

BACKGROUND: Amyotrophic lateral sclerosis (ALS) lacks sensitive, objective staging tools to guide clinical management and trials. Existing methods hav...

Accelerating sow nursing behavior monitoring with modified YOLO11n architecture and TensorRT integration.

The mediating role of deep learning approach between the proactive personality and innovative behavior of undergraduate nursing students.

Generative artificial intelligence for surgical site infection surveillance.

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generati...

Predicting Somatization Risk Among Infectious Disease Disaster Frontline Nurses Using Machine Learning.

This study aimed to identify key risk factors associated with high-somatization risk among frontline nurses responding to infectious diseases, utilizi...

Assessing Cognitive Complexity in Student Interactions With AI-Based Learning Activities: Using Bloom's Taxonomy to Foster Critical AI Literacy.

BACKGROUND: Critics of AI note its potential to foster passivity, intellectual dependency, and reproduction of inaccurate or plagiarized content. Stra...

The experience of nursing students using generative artificial intelligence: a qualitative meta-synthesis.

OBJECTIVE: This study systematically integrated qualitative research regarding nursing students' experiences using Generative Artificial Intelligence ...

AI at the bedside: Randomised controlled trial of ChatGPT's impact on student performance in real-patient clinical exams.

BACKGROUND: Generative artificial intelligence (AI) tools are entering clinical training faster than curricula and assessments can adapt. It is curren...

Artificial intelligence (AI)-assisted ultrasound in clinical trials: Endpoint automation, decentralized monitoring, and regulatory readiness.

Ultrasound is among the most widely used imaging modalities in clinical trials, and yet its dependence on operator skill and equipment settings has hi...