J Med Ethics
August 2025
Background: Non-inferiority (NI) studies with mortality end points are increasingly frequently conducted. They aim to show that a new treatment strategy does not entail an unacceptably higher mortality than the comparator. They raise specific ethical issues related to the rationale of the study, the NI margin, certainty and informed consent.
View Article and Find Full Text PDFFront Vet Sci
August 2025
Introduction: Numerous vertebral anomalies have been characterised in dogs, whereas congenital vertebral malformations in cats have been less frequently described. The aim of the present study was to report and describe a vertebral malformation in cats recently reported in dogs-vertebral vascular canal dysplasia (VVCD)-to apply the previously reported scoring system to a feline study population, and to evaluate its inter- and intra-observer agreement.
Material And Methods: CT and MRI studies from five different feline populations were retrospectively evaluated.
Background: Smartwatch-based solutions for out-of-hospital cardiac arrest (OHCA) detection are increasingly explored to enhance survival outcomes, especially in unwitnessed cases. However, the perspectives of community responders, who play a critical role in early responding to resuscitation alerts, are not yet known. Exploring their current experiences and perspectives on this new technology is important for successfully developing and integrating these innovations into existing resuscitation systems.
View Article and Find Full Text PDFObjective: Wearable-based technology could provide a feasible solution for early recognition of out-of-hospital cardiac arrest (OHCA). The current study investigates the role of demographic and psychological factors towards willingness to use smartwatch-based OHCA detection in the general population.
Methods: Data were obtained from a Dutch community-based sample (N = 598; mean age = 48.
Background: Artificial intelligence (AI) applications present opportunities to enhance the diagnosis, prognosis, and treatment of various diseases. To successfully integrate and utilize AI in healthcare, it is crucial to understand the perspectives of healthcare professionals and to address challenges they associate with AI adoption at an early stage. Therefore, the aim of this review is to provide a comprehensive overview of empirical studies that explore healthcare professionals' perspectives on AI in healthcare.
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