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Background: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinical tasks, but concerns regarding biases, lack of regulation, and potential technical issues pose significant challenges. The lack of a clear definition of AI, combined with limited focus on qualitative research exploring clinicians' perspectives, has
Objectives The aim was to estimate the prevalence and risk of respiratory symptoms among workers exposed to epoxy resin systems in the wind turbine industry. Methods We conducted a cross-sectional study including 180 epoxy-exposed production workers from two Danish wind turbine blade factories and 41 non-exposed office workers. Respiratory symptoms were defined as having two or more symptoms (i.e.
Background: The prognostic benefit of percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) in stable coronary artery disease (CAD) remains uncertain. Objectives: To evaluate long-term survival following CTO PCI compared with medical therapy (MT) using target trial emulation and a nationwide real-world registry. Methods: We included 7813 patients with stable CAD and a document
Moult, the regular replacement of feathers, is a resource-intense avian annual-cycle stage. Resource allocation to support feather regrowth may require downregulation of other physiological processes, such as immune function, which is critical for preventing disease-related mortality. At the same time, the emergence of new feathers may increase the risk of skin injury and infection, potentially re
Objective: The aim of this study was to investigate the experiences of school nurses working with refugee children from Ukraine. Design: This research was conducted as a qualitative interview study, using an inductive approach and a semi-structured interview guide. Sample: School nurses (n = 8) from different parts of Sweden were interviewed, and the data were analyzed through a qualitative conten
Accurate grading of Oil Palm Fresh Fruit Bunches (FFB) is pivotal for maximizing agricultural yield, yet manual assessment in unstructured environments remains labor-intensive and subjective. While Convolutional Neural Networks (CNNs) offer an automated solution, the conventional strategy of scaling network depth often yields diminishing returns or overfitting on moderately sized datasets. To over
IMPORTANCE: Key information is often omitted from pediatric randomized controlled trial (RCT) protocols, including details on dose adjustments of interventions based on age, body surface area, or weight; developmental appropriateness of trial outcome measures and processes; or strategies to minimize participants' anxiety and pain. These deficiencies impair the planning and implementation of potent
IMPORTANCE: Randomized controlled trials (RCTs) in children and adolescents provide evidence for patients, families, researchers, clinicians, regulators, funders, policymakers, and other interest holders to inform decisions about health care interventions and improve outcomes for young patients and their families. To critically evaluate, interpret, and apply trial results, readers require access t
Randomised controlled trial (RCT) protocols contain essential details needed to understand and evaluate the trial's planned aims, design, data collection methods, monitoring, data analysis, and participants' safety. However, key information is often omitted from paediatric RCT protocols, including details on dose adjustments of interventions based on age, body surface area, or weight; developmenta
The saturation of the IJTAG concept and its approval as the IEEE 1687 standard in 2014 has generated a wave of research activities and created demand for a set of appropriate and challenging benchmarks. This paper presents such a set developed by an industrial and academic consortium and constructed in a way that facilitates objective comparison of experimental results across research groups as we
