Latest AI and machine learning research in nursing for healthcare professionals.
The disruptive effect and lasting implications of generative artificial intelligence ("Gen AI") tools for higher education are yet unknown. ChatGPT 3.5 was released in November 2022 and soon had over 100 million users. This public software release triggered a global Gen AI race among technology industry giants. Educators in higher education were unprepared for this seismic shift. For the Fall 2023...
Nurses continue to face challenges in leading health information technology innovations such as Artificial Intelligence (AI). There is an acknowledged need to explore the attitude of nurses towards AI and nurses' acceptance of AI in clinical settings. We sought to address this gap in knowledge about the perceptions of AI by nursing-related professionals in their work and as a content area in the e...
We aimed to understand nursing informaticists' perspectives on key challenges, questions, and opportunities for the nursing profession as it prepares ...
As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a result, it is crucial to optimize health education ...
The effective management of human resources in nursing fundamental to ensuring high-quality care. The necessary staffing levels can beis derived from ...
This paper explores the balance between fairness and performance in machine learning classification, predicting the likelihood of a patient receiving ...
Hospital-acquired falls are a continuing clinical concern. The emergence of advanced analytical methods, including NLP, has created opportunities to l...
This case study describes how one educator approached the incorporation of generative AI into a graduate-level introductory nursing informatics course...
Endotracheal tube dislodgement is a common patient safety incident in clinical settings. Current clinical practices, primarily relying on bedside visu...
This study aimed to develop ICU mortality prediction models using a conceptual framework, focusing on nurses' concerns reflected in nursing records fr...
Building a nursing education platform through Microsoft Power Apps. The main purpose is to provide convenience, real-time access, and comprehensive kn...
To construct a robot intelligent discharge follow-up platform and explore its application effects in clinical discharge follow-up scenarios Applying i...
This study investigates how to reduce nurses' repetitive electronic nursing record tasks. We applied generative AI by learning nursing record data pra...
This scoping review examines the concept of trust in nursing and its potential application in developing trustworthy Artificial Intelligence (AI) for ...
This study aimed to develop a mapping table that connects nursing notes with standard terminology, focusing on nurses' concerns for ICU patients. Afte...
Large language models (LLMs) such as ChatGPT have emerged as potential game-changers in nursing, aiding in patient education, diagnostic assistance, t...
INTRODUCTION: Detection of occult hemorrhage (OH) before progression to clinically apparent changes in vital signs remains an important clinical probl...
In this article, we consider the intersection of cognitive motor dissociation (CMD) and artificial intelligence (AI), hence when CMD meets AI. In cove...
Swallowing is a pivotal physiological function for human sustenance and hydration. Dysfunctions, termed dysphagia, necessitate prompt and precise diag...
Robotic catheters enable precise steering of their distal tip while inside the body's blood vessels, and with this ability comes the need for control ...