Objectives: Planning the mode of delivery of a full-term breech singleton remains a challenging task. The aim of this work is to compare the neonatal and maternal short-term outcomes after planned vaginal delivery and caesarean section and to evaluate the influence of an MRI pelvimetry on the short-term outcomes in order to provide appropriate advice to pregnant women with breech presentation.
Methods: This is a retrospective monocentric analysis of all deliveries with singleton pregnancies from breech presentation >36 + 0 weeks of gestation between 08/2021 and 09/2023.
Rationale And Objectives: The prognostic role of computed tomography (CT)-defined skeletal muscle features in COVID-19 is still under investigation. The aim of the present study was to evaluate the prognostic role of CT-defined skeletal muscle area and density in patients with COVID-19 in a multicenter setting.
Materials And Methods: This retrospective study is a part of the German multicenter project RACOON (Radiological Cooperative Network of the COVID-19 pandemic).
High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (ILD) in inflammatory rheumatic disease (IRD) patients. However, visual ILD assessment via HRCT often has high inter-reader variability. Artificial intelligence (AI)-based techniques for quantitative image analysis promise more accurate diagnostic and prognostic information.
View Article and Find Full Text PDFBackground: With photon-counting CT, spectral imaging is always available, and iodine maps with high spatial and spectral resolution can be generated.
Objectives: The aim of this study was to investigate whether iodine uptake in different parenchymal patterns can be used to characterise parenchymal disease with increased lung attenuation.
Methods: 325 patients were scanned with a photon-counting CT using four scan protocols, all with lung parenchymal contrast.
Bioethics has developed approaches to address ethical issues in health care, similar to how technology ethics provides guidelines for ethical research on artificial intelligence, big data, and robotic applications. As these digital technologies are increasingly used in medicine, health care and public health, thus, it is plausible that the approaches of technology ethics have influenced bioethical research. Similar to the "empirical turn" in bioethics, which led to intense debates about appropriate moral theories, ethical frameworks and meta-ethics due to the increased use of empirical methodologies from social sciences, the proliferation of health-related subtypes of technology ethics might have a comparable impact on current bioethical research.
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