Latest AI and machine learning research in nursing for healthcare professionals.
Accurate extraction of patient symptoms and signs from clinical notes is essential for effective diagnosis, treatment planning, and research. In this study, we evaluate the capability of GPT-4, specifically GPT-4o, in extracting symptoms and signs from nursing notes within the MIMIC-III dataset. We experimented with two temperature settings (1 and 0.3) to explore the impact of model diversity and ...
OBJECTIVE: This study aims to develop and validate a machine learning model for identifying individuals within the nursing population experiencing severe subjective cognitive decline (SCD) during the menopause transition, along with their associated factors.
BACKGROUND: With the global population aging and advancements in the medical system, long-term care in healthcare institutions and home settings has b...
BACKGROUND: Recent advancements in deep learning (DL), a subset of artificial intelligence, have shown the potential to automate and improve disease r...
Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monitoring, and efficiency. Machine learning, natural la...
BACKGROUND: Machine learning (ML) models can enhance patient-nurse assignments in healthcare organisations by learning from real data and identifying ...
Semantic segmentation has made significant strides in pixel-level image understanding, yet it remains limited in capturing contextual and semantic r...
Artificial intelligence (AI) is transforming healthcare by enhancing clinical decision-making, particularly in nursing, where it supports tasks such a...
This paper introduces the "IoT Integration Protocol for Enhanced Hospital Care", a comprehensive framework designed to leverage Internet of Things (...
The electronic health record (EHR) contains valuable patient data and offers opportunities to administer and analyse patients' individual needs longit...
AIM: This narrative review explores the integration of artificial intelligence (AI) into nursing informatics and examines its impact on nursing practi...
OBJECTIVE: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health System...
Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for effective healthcare delivery. This study aimed to asses...
AIM: This study systematically explores the ethical and regulatory considerations surrounding the integration of artificial intelligence (AI) and mach...
This systematic review evaluates the application of machine learning (ML) models for diagnosing pulmonary tuberculosis and their potential to inform n...
AIM: This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Ar...
AIM: The relationship between nursing students' attitudes toward artificial intelligence and their creative personality traits was examined in this st...
OBJECTIVES: To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowle...
Infections in Diabetic Foot Ulcers (DFUs) can cause severe complications, including tissue death and limb amputation, highlighting the need for accu...
During transfer tasks, the dual-arm nursing-care robot require a human-robot mechanics model to determine the balance region to support the patient sa...