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Grounded in the Present and Anticipating the Future.
Nurs Leadersh (Tor Ont)
June 2025
Director and Professor, School of Nursing Assistant Dean, Research, Faculty of Health Dalhousie University Affiliate Scientist, Nova Scotia Health Affiliate Scientist, Maritime SPOR Support Unit Halifax, NS Co-Director, Canadian Centre for Advanced Practice Nursing Research Hamilton, ON.
and along with it, the first issue of the () for the year 2025. We begin the year with significant and persistent health and healthcare challenges. Recently released data from the Canadian Institute for Health Information indicate that 5.
View Article and Find Full Text PDFA Review on Face Mask Recognition.
Sensors (Basel)
January 2025
School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
This review offers a comprehensive and in-depth analysis of face mask detection and recognition technologies, emphasizing their critical role in both public health and technological advancements. Existing detection methods are systematically categorized into three primary classes: feaRture-extraction-and-classification-based approaches, object-detection-models-based methods and multi-sensor-fusion-based methods. Through a detailed comparison, their respective workflows, strengths, limitations, and applicability across different contexts are examined.
View Article and Find Full Text PDFTransformative Insights into Community-Acquired Pressure Injuries Among the Elderly: A Big Data Analysis.
Healthcare (Basel)
January 2025
Nursing Department, Ashkelon Academic College, Shikmim 78211, Israel.
Purpose: To investigate community-acquired pressure injuries (CAPIs) in older people by utilizing big data.
Design: Retrospective data curation and analysis of inpatient data from two general medical centers between 1 January 2016 and 31 December 2018.
Methods: Nursing assessments from 44,449 electronic medical records of patients admitted to internal medicine departments were retrieved, organized, coded by data engineers, and analyzed by data scientists.
Influence of Coping, Esteem, and Resilience on Caregiver Distress in Pancreatic Cancer Patient-Caregiver Dyads.
Healthcare (Basel)
January 2025
Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL 33612, USA.
Through survey and analysis of pancreas cancer patient-caregiver dyads, we aimed to identify patient and caregiver characteristics that influence and determine the impact of caregiver coping strategies, self-esteem, and resilience on caregiver distress. This was a cross-sectional, observational study including pancreatic cancer patients and their caregivers. Demographics of patients and caregivers were collected.
View Article and Find Full Text PDFExplainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.
Diagnostics (Basel)
January 2025
Aerospace Engineering Department and Interdisciplinary Research Center for Smart Mobility and Logistics, and Interdisciplinary Research Center Aviation and Space Exploration, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia.
Artificial intelligence (AI) has recently made unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts have been working in the direction of designing and developing computer aided diagnosis (CAD) tools to serve as assistants to doctors, their large-scale adoption and integration into the healthcare system still seems far-fetched. Diagnostic radiology is no exception.
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