To practice a training ethic, one must view giving or obtaining training regarding workplace health hazards as an ethical responsibility. Furthermore, the training itself must be carried out ethically. Here, the authors discuss the training ethic as an extension of workers' right to know and address ethical issues that arise during training.
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Stair-descent phenotypes in community-dwelling older adults determined using high-level balance tasks.
Aging Clin Exp Res
January 2025
Department of Physical Medicine and Rehabilitation, Kansai Medical University, Osaka, Japan.
Background: Falls on stairs are a major cause of severe injuries among older adults, with stair descent posing significantly greater risks than ascent. Variations in stair descent phenotypes may reflect differences in physical function and biomechanical stability, and their identification may prevent falls.
Aims: This study aims to classify stair descent phenotypes in older adults and investigate the biomechanical and physical functional differences between these phenotypes using hierarchical cluster analysis.
Tackling chronic kidney disease in Nepal: from evidence to action.
J Nephrol
January 2025
Health Evidence Synthesis, Recommendations and Impact (HESRI), School of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
Chronic kidney disease (CKD) poses a significant burden in Nepal. We reviewed the epidemiology of CKD in Nepal and proposed strategies to mitigate its burden. A nationwide survey of non-communicable diseases in 2019 reported CKD prevalence of 6.
View Article and Find Full Text PDFAssessing the role of education level on climate change belief, concern and action: a multinational survey of healthcare professionals in nephrology.
J Nephrol
January 2025
Division of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Background: Climate change poses a significant risk to kidney health, and countries with lower national wealth are more vulnerable. Yet, citizens from lower-income countries demonstrate less concern for climate change than those from higher-income countries. Education is a key covariate.
View Article and Find Full Text PDFGenerative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Impact of tissue-independent positron range correction on [Ga]Ga-DOTATOC and [Ga]Ga-PSMA PET image reconstructions: a patient data study.
Eur J Nucl Med Mol Imaging
January 2025
Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Purpose: The positron range effect can impair PET image quality of Gallium-68 (Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for Ga was investigated on patient data.
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