Latest AI and machine learning research in nursing for healthcare professionals.
This work introduces the first benchmark for nursing value alignment, consisting of five core value dimensions distilled from international nursing codes: Altruism, Human Dignity, Integrity, Justice, and Professionalism. The benchmark comprises 1,100 real-world nursing behavior instances collected through a five-month longitudinal field study across three hospitals of varying tiers. These instan...
Metabolic syndrome (MetS) is a medication condition characterized by abdominal obesity, insulin resistance, hypertension and hyperlipidemia. It increases the risk of majority of chronic diseases, including type 2 diabetes mellitus, and affects about one quarter of the global population. Therefore, early detection and timely intervention for MetS are crucial. Standard diagnosis for MetS component...
Accurate intravenous (IV) fluid monitoring is critical in healthcare to prevent infusion errors and ensure patient safety. Traditional monitoring meth...
BACKGROUND: Telepresence robots provide real-time audio, video, and mobility features, allowing faculty and students to engage in learning experiences...
This article describes the staged restructure of the rapid response program into a dedicated 24/7 proactive rapid response system in a quaternary acad...
BACKGROUND: Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the pot...
While robot acceptance in different populations is well-studied, little is known about how individuals with dementia perceive and respond to humanoid ...
Antimicrobial resistance (AMR) poses a significant global health threat, with projections indicating it could surpass cancer in mortality rates by 205...
OBJECTIVE: Accurate total hemoglobin concentration (ctHb) measurement is critical for clinical decision-making, particularly in acute care, where imme...
Machine learning has the potential to drive the next generation of clinical decision support systems by identifying patterns in health data to enhance...
BackgroundAs health education robots may potentially become a significant support force in nursing practice in the future, it is imperative to adhere ...
BACKGROUND: As the use of artificial intelligence (AI) becomes more prevalent in academic settings, there is a growing concern about maintaining a cul...
BACKGROUND: Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, s...
BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care, such as responding to patients' requests for wat...
We used data mining to predict the attitudes of 527 caregivers towards the pros and cons of using robotics and artificial intelligence (AI) for dement...
In the field of elder care, many countries are facing a shortage of nursing staff, which presents a significant challenge that necessitates innovative...