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Simulation-based education (SBE) has become an integral part of training in health professions education, offering a safe environment for learners to acquire and refine clinical skills. As a non-ionising imaging modality, ultrasound is a domain of health professions education that is particularly supported by SBE. Central to many simulation programs is the use of animal models, tissues, or body parts to replicate human anatomy and physiology.

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Introduction: Stroke-associated pneumonia (SAP) is a major cause of mortality during the acute phase of stroke. The ADS score is widely used to predict SAP risk but does not include 24-h non-contrast computed tomography-Alberta Stroke Program Early CT Score (NCCT-ASPECTS) or red cell distribution width (RDW). We aim to evaluate the added prognostic value of incorporating 24-h NCCT-ASPECTS and RDW into the ADS score and to develop a novel prediction model for SAP following thrombolysis.

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Exploring the barriers to cervical screening and perspectives on new self-sampling methods amongst under-served groups.

BMC Health Serv Res

January 2025

NIHR Greater Manchester Patient Safety Research Collaboration, Centre for Primary Care & Health Services Research, School of Health Sciences, Faculty of Biology, Medicine & Health, The University of Manchester, Greater Manchester, England, UK.

Background: Cervical screening rates have fallen in recent years in the UK, representing a health inequity for some under-served groups. Self-sampling alternatives to cervical screening may be useful where certain barriers prohibit access to routine cervical screening. However, there is limited evidence on whether self-sampling methods address known barriers to cervical screening and subsequently increase uptake amongst under-screened groups.

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This study aimed to investigate the effect of cervical length on procedure time and VAS pain scores during office hysteroscopy. A cross-sectional study was conducted on 50 patients who underwent office hysteroscopy for various indications such as abnormal uterine bleeding and infertility. Exclusion criteria included active vaginal infection, previous cervical surgery, and chronic pelvic pain.

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Background: To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending to scale-up its application, circumvent costs in the training of human assessors and further standardize classification of spontaneous motor patterns. Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors.

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