Latest AI and machine learning research in nursing for healthcare professionals.
BACKGROUND: Artificial intelligence is transforming healthcare by enhancing diagnostics, efficiency, and outcomes. Evaluating nursing students' knowledge helps identify educational gaps, as they directly engage in patient care and decision-making. This study explored their experiences with using artificial intelligence in clinical settings.
Generative Artificial Intelligence (Gen AI) has brought about a significant transformation in various societal domains, including higher education. It offers a plethora of advantages aimed at enhancing learning outcomes in higher education. This research aimed to examine the factors affecting student performance in nursing when Gen AI is employed in undergraduate nursing programs at Palestinian hi...
BACKGROUND: Wearable health technologies, such as smartwatches, biosensor patches, and fitness trackers, have evolved from basic monitoring tools to a...
BACKGROUND: Needlestick injuries are a significant occupational hazard for oral and maxillofacial surgery nurses. This hazard results from complex pro...
AIMS: To find out whether the information that the nursing process provides (functional patterns and the NANDA-NIC-NOC taxonomy), presented through cl...
INTRODUCTION: Understanding the differences and similarities between the different curricula enhances global nursing education practices.
BACKGROUND: Differentiating between stage 1 or 2 pressure ulcer/pressure injury (PU/PI) and incontinence-associated dermatitis (IAD) poses a significa...
BACKGROUND: Oncology nurses face unique and intense demands due to the nature of their work, caring for patients with life-threatening illnesses. The ...
BACKGROUND: Adopting generative artificial intelligence (GenAI) in education rapidly transforms learning environments, yet nursing students' acceptanc...
INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze data, learn patterns, and execute tasks traditionall...
BACKGROUND: The relentless march of artificial intelligence (AI) has emerged as a formidable catalyst, offering a toolbox of novel tools and methodolo...
BACKGROUND: The rapid integration of artificial intelligence (AI) into healthcare has raised important patient privacy concerns, particularly regardin...
The integration of artificial intelligence (AI) into psychiatric-mental health care presents transformative opportunities for psychiatric-mental healt...
BACKGROUND: With a focus on postoperative dysfunctions that may occur after maxillofacial tumor resection and the difficulties faced during home rehab...
Artificial intelligence (AI) is reshaping health care, making AI literacy vital for nursing professionals. The Navigate AI basics, Utilize AI strategi...
Recent innovations in vector flow imaging promise to bring the modality closer to clinical application and allow for more comprehensive high-frame-rat...
BACKGROUND: An artificial intelligence chatbot called Chat Generative Pre-Trained Transformers (ChatGPT) was created by OpenAI. It gained a lot of int...
BACKGROUND: As artificial intelligence (AI) becomes an integral part of healthcare, nursing practice is rapidly evolving, requiring a deeper understan...
BACKGROUND: Artificial intelligence (AI) is increasingly introduced into healthcare, promising improved efficiency and clinical decision-making. While...
Processes to assure the safe, effective, and responsible deployment of artificial intelligence (AI) in safety-critical settings are urgently needed. H...