Nursing

Impact of AI recommendation correctness on diagnostic accuracy in clinical decision-making.

BACKGROUND: Clinical decision-making is shaped by healthcare provider-related factors such as experi...

From Bytes to Bedside: Exploring the Impact of AI on Medicine and Education.

The rapid evolution of generative artificial intelligence (AI) is poised to transform medicine and m...

Leveraging artificial intelligence for surgical site infection surveillance: A comparison of 5 large language models.

We conducted a retrospective study to evaluate the performance of 5 large language models in detecti...

Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.

Cancer nanomedicine has evolved from the 1995 landmark approval of Doxil® into a programmable platfo...

Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations.

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impa...

Developing and Validating a Prediction Model for the Severe Pain-Fatigue-Sleep Disturbance Symptom Cluster in Patients with Lung Cancer Following Chemotherapy: A Machine Learning Analysis.

OBJECTIVES: Pain-fatigue-sleep disturbance symptom (PFS) cluster is the most common symptom cluster ...

ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition.

BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depre...

When used for veterinary triage, artificial intelligence models recognise emergencies but are more likely than veterinary staff to flag non-urgent cases as urgent.

BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergenc...

SapBark-64: A dataset of bark images for 64 fruit-tree sapling classes.

We present SapBark-64, a curated dataset of 5742 close-range bark images from 64 fruit-tree sapling ...

Nurses' ethical leadership, artificial intelligence, and moral sensitivity activation.

BackgroundWith the widespread adoption of artificial intelligence (AI) in healthcare and nursing, nu...

Nursing students' perceptions of gender and race in AI healthcare imagery.

BackgroundThe rapid integration of artificial intelligence (AI) into healthcare has transformed how ...

The Role of Artificial Intelligence in Advancing Clinical Care in Cardiovascular Nursing.

Machine Learning Algorithms for Predicting Injurious Fall Risk Among Older Adults With Depression: A Prognostic Modeling Study.

BACKGROUND: Falls and related injuries (FRI) pose a large burden among older adults with depression....

Generative AI at the Bedside: An Integrative Review of Applications and Implications in Clinical Nursing Practice.

AIM: The aim of this integrative review is to critically appraise and synthesise empirical evidence ...

Current status and future directions for the use of artificial intelligence in pediatric critical care nephrology.

Artificial intelligence (AI) has the potential to significantly improve the practice of medicine. Ho...

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review.

BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to gr...

A curriculum framework for embedding artificial intelligence literacies in pre-registration nursing education.

BACKGROUND: Pre-registration nursing students need to be appropriately prepared for a healthcare env...

Nursing Students' Perceptions and Attitudes on the Application of Artificial Intelligence in Nursing Education: A Mixed-Methods Systematic Review.

BACKGROUND: The utilisation of artificial intelligence in the context of nursing education has becom...

Global Research Landscape of Sleep Health in Nursing: A Bibliometric and Visualization Study.

This research intends to provide a comprehensive review of existing literature on sleep within the n...

Ultrasound to guide critical decisions: What you need to know.

BACKGROUND: Hypotension in the intensive care unit (ICU) demands rapid diagnosis and intervention, a...

[Interdisciplinary, research-based teaching format for participatory technology development in nursing: a mixed methods study].

Interdisciplinary, research-based teaching format for participatory technology development in nursin...