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Improving apgar scores and reducing perineal injuries through midwife-led quality improvements: an observational study in Uganda.
BMC Public Health
January 2025
Department of Women's and Children's Health, Karolinska Institutet, Tomtebodavägen 18A, Stockholm, Solna, 171 77, Sweden.
Background: Globally, the quality of maternal and newborn care remains inadequate, as seen through indicators like perineal injuries and low Apgar scores. While midwifery practices have the potential to improve care quality and health outcomes, there is a lack of evidence on how midwife-led initiatives, particularly those aimed at improving the use of dynamic birth positions, intrapartum support, and perineal protection, affect these outcomes.
Objective: To explore how the use of dynamic birth positions, intrapartum support, and perineal protection impact the incidence of perineal injuries and the 5-min Apgar score within the context of a midwife-led quality improvement intervention.
Deep learning in 3D cardiac reconstruction: a systematic review of methodologies and dataset.
Med Biol Eng Comput
January 2025
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, (C.G.), India.
This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, including data from the UK Biobank, MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, and clinical datasets of congenital heart disease. Preprocessing steps involved segmentation, intensity normalization, and mesh generation, while the reconstruction was performed using a blend of statistical shape modeling (SSM), graph convolutional networks (GCNs), and progressive GANs.
View Article and Find Full Text PDFDSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images.
Sci Rep
January 2025
Physics Department, Science College, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Semantic segmentation of high-resolution images from remote sensing is crucial across various sectors. However, due to limitations in computational resources and the complexity of network architectures, many sophisticated semantic segmentation models struggle with efficiency in real-world applications, leading to an interest in developing lightweight model like borders. These models often employ a dual-branch structure, which balances processing speed and performance effectively.
View Article and Find Full Text PDFExploring happiness factors with explainable ensemble learning in a global pandemic.
PLoS One
January 2025
Department of Sociology, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.
Happiness is a state of contentment, joy, and fulfillment, arising from relationships, accomplishments, and inner peace, leading to well-being and positivity. The greatest happiness principle posits that morality is determined by pleasure, aiming for a society where individuals are content and free from suffering. While happiness factors vary, some are universally recognized.
View Article and Find Full Text PDFHuman-Computer Interaction and Artificial Intelligence: Advancing Care Through Extended Mind Theory.
Cureus
December 2024
Psychology, University of Bath, Bath, GBR.
Article Synopsis
- AI and mixed reality (MR) are changing healthcare by improving patient care and medical education through technology and human-computer interaction (HCI).
- AI-driven virtual therapists offer personalized, remote mental health support, while MR allows patients to confront fears in safe, virtual environments.
- Clinical training benefits from adaptive, immersive tools that provide hands-on practice in high-pressure scenarios, emphasizing the need for ethical considerations like data security as these technologies become more integrated into healthcare.
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