Nursing

Evaluation of SSI risk prediction model after spinal surgery: A systematic review and critical appraisal

This study aimed to systematically review and critically evaluate the risk of bias and applicability...

Interventionally-guided representation learning for robust and interpretable AI models in cancer medicine

Machine learning models hold promise in cancer medicine but often lack robustness and interpretabili...

Nursing Students' Attitudes Toward Artificial Intelligence: Palestinian Perspectives.

BACKGROUND: Artificial intelligence (AI) is significantly transforming the nursing profession, enhan...

Bibliometric insights into the top 100 most-cited annual studies on digital health in nursing education (2020-2024).

AIM: This study aims to use bibliometric methods to analyze highly cited nursing education articles ...

LeFood-set: Baseline performance of predicting level of leftovers food dataset in a hospital using MT learning.

Monitoring the remaining food in patients' trays is a routine activity in healthcare facilities as i...

Living on the Edge: Paradoxical Experiences with Ethics (Reprinted with permission).

Paradox is living phenomenon that provides insights into straight thinking and diverse human experie...

Advancements of AI in healthcare: a comprehensive review of ChatGPT's applications and challenges.

The rapid integration of artificial intelligence into healthcare has introduced transformative possi...

Current State of Healthcare Robots for Older Adults in Care Facilities in Japan and the Related Ethical Issues for Nurses.

This review discusses the introduction of healthcare robots, such as those that provide transfer, to...

Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework

This paper explores the application of large language models (LLMs) in nursing and elderly care, f...

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development

Clinical trials are an indispensable part of the drug development process, bridging the gap betwee...

Participatory Assessment of Large Language Model Applications in an Academic Medical Center

Although Large Language Models (LLMs) have shown promising performance in healthcare-related appli...

Bed-Attached Vibration Sensor System: A Machine Learning Approach for Fall Detection in Nursing Homes

The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...

Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses from Closed-Domain LLM vs. Clinical Teams

In-basket message interactions play a crucial role in physician-patient communication, occurring d...

Virtual reality with artificial intelligence-led scenarios in nursing education: a project evaluation.

AIM: To provide insights into the optimal use of virtual reality (VR) in nursing education by evalua...

Community nursing and the digital technology revolution: the past, present and future.

While very much in its infancy in terms of becoming an established tool, the use of digital technolo...

Large Language Models in Pediatric Education: Current Uses and Future Potential.

Generative artificial intelligence, especially large language models (LLMs), has the potential to af...

Evaluation of End-User Participation in Artificial Intelligence Nursing Projects.

Artificial Intelligence (AI) projects in healthcare, particularly in nursing, currently gain relevan...

Large Language Models in Nursing Education: State-of-the-Art.

This study explores the integration of Large Language Models (LLMs) into nursing education, highligh...

Evaluation of Machine Learning Algorithms for Pressure Injury Risk Assessment in a Hospital with Limited IT Resources.

Clinical decision support systems for Nursing Process (NP-CDSSs) help resolve a critical challenge i...

Development of a Data Model to Predict Nursing Workload Using Routine Clinical Data.

The effective management of human resources in nursing is fundamental to ensuring high-quality care....

AI integration in nursing practice: striking a balance between technology and the human touch.