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| http://dx.doi.org/10.36660/abc.20200143 | DOI Listing |
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Aligning corporate social responsibility with artificial intelligence in healthcare in the context of the post-COVID-19 recovery: a viewpoint.
J Health Organ Manag
January 2025
University of Malta, Msida, Malta.
Purpose: This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI.
Comparative study of torque expression and its biomechanical effects: spherical self-ligating bracket with lock-hook system versus passive self-ligating bracket and conventional bracket.
BMC Oral Health
January 2025
Department of Stomatology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, China.
Background: Proper torque control is crucial to the outcome of orthodontic treatment. This study aimed to employ finite element analysis to compare the torque capabilities of a novel spherical self-ligating bracket with a lock-hook system against those of commonly used passive self-ligating and conventional bracket systems, as well as to reveal the biomechanical changes in the periodontal ligament (PDL) during torque expression.
Methods: A maxillary right central incisor, along with its PDL and alveolar bone, were modeled.
Identification of core genes related to exosomes and screening of potential targets in periodontitis using transcriptome profiling at the single-cell level.
BMC Oral Health
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Department of Stomatology, People's Hospital of Xinjiang Autonomous Region, Urumqi City, China.
Background: The progression and severity of periodontitis (PD) are associated with the release of extracellular vesicles by periodontal tissue cells. However, the precise mechanisms through which exosome-related genes (ERGs) influence PD remain unclear. This study aimed to investigate the role and potential mechanisms of key exosome-related genes in PD using transcriptome profiling at the single-cell level.
View Article and Find Full Text PDFThe relationships of personality traits on perceptions and attitudes of dentistry students towards AI.
BMC Med Educ
January 2025
Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ordu University, Ordu, 52200, Turkey.
Introduction: Artificial intelligence (AI) has gained significant attention in dentistry due to its potential to revolutionize practice and improve patient outcomes. However, dentists' views and attitudes toward technology can affect the application of AI. This perception and attitude can be affected by the personality traits of individuals.
View Article and Find Full Text PDFExternal validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.
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QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.
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