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Factors Influencing the Self-Reported Palliative Care Practices of Acute Care Nurses.
West J Nurs Res
January 2025
UT Health San Antonio, San Antonio, TX, USA.
Background: Provision of palliative care in acute care settings is significantly lacking despite evidence that early integration leads to better patient/family-related outcomes and improved healthcare cost and efficiency.
Objective: This study investigated influencing factors that affect the nature and frequency of palliative care practices of acute care nurses.
Methods: A descriptive, cross-sectional design was used to examine the effects of personal and environmental factors on nurses' palliative care practices in the acute care setting.
A Deep Learning Framework for Automated Classification and Archiving of Orthodontic Diagnostic Documents.
Cureus
December 2024
Department of Orthodontics, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, IRN.
Background Orthodontic diagnostic workflows often rely on manual classification and archiving of large volumes of patient images, a process that is both time-consuming and prone to errors such as mislabeling and incomplete documentation. These challenges can compromise treatment accuracy and overall patient care. To address these issues, we propose an artificial intelligence (AI)-driven deep learning framework based on convolutional neural networks (CNNs) to automate the classification and archiving of orthodontic diagnostic images.
View Article and Find Full Text PDFClinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease.
Front Artif Intell
January 2025
Language Intelligence and Information Retrieval (LIIR) Lab, Department of Computer Science, KU Leuven, Leuven, Belgium.
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.
View Article and Find Full Text PDFNanoformulation innovations: Revolutionizing precision in migraine therapy.
Iran J Basic Med Sci
January 2025
Departments of Pharmaceutical Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Objectives: Migraine, a serious neurological disease that affects millions of people worldwide, is one of the most considerable burdens on the healthcare system and has significant economic implications. Even though various treatment methods are available, including medication, lifestyle changes, and behavioral therapy, many migraine sufferers do not receive adequate relief or experience intolerable side effects. Hence, the present review aims to evaluate the nanoformulation regarding migraine therapy.
View Article and Find Full Text PDFDevelopment of a novel instrument to measure Japanese psychiatric nurses' technological competency as caring in nursing.
Belitung Nurs J
January 2025
Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan.
Background: To effectively advance person-centered care (PCC) practice, it is important to equip healthcare providers with person-centered values and beliefs while simultaneously transforming their work environment to align with PCC. Thus, instruments to measure caring practice status in nursing competency for psychiatric-specific behavioral limitations, ethico-moral behavior, technology use, and PCC need to be developed.
Objective: This study developed the Technological Competency as Caring in Psychiatric Nursing Instrument (TCCNPNI) to measure practice status and test its content and construct validity.
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