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Group Body Mapping: Exploring Intersectional Aspects of Obstetric Violence Through Embodiment-Experiences of Migrant Women in Situations of Vulnerability.
Qual Health Res
March 2025
Maternal and Fetal Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain.
This study investigated the use of group body mapping as a methodological tool to explore experiences of obstetric violence among migrant women from Senegal, Morocco, and Pakistan in Catalonia. The research aimed to assess the effectiveness of group body mapping in identifying the barriers these women faced during pregnancy, childbirth, and the postpartum period, while also highlighting the intersectional dimensions of obstetric violence. The study identified seven key codes-Issues/Barriers, Trust, Gender, Body/Embodiment, Significant Relationships, Employment, and Gender-Based Violence-which were analyzed from an intersectional perspective.
View Article and Find Full Text PDFAnatomy in Ink.
HCA Healthc J Med
February 2025
Riverside Community Hospital, Riverside, California.
Description In the intersection of medicine and art lies a profound synergy that nurtures both professional and personal well-being. This piece embodies this connection through a detailed and abstract representation of the human body and its complexities. At the center of the piece, the gross anatomical depiction of the head and neck serves as a nod to the foundational knowledge in medicine.
View Article and Find Full Text PDFEnhancing fetal ultrasound image quality and anatomical plane recognition in low-resource settings using super-resolution models.
Sci Rep
March 2025
Univ Bretagne Occidentale, Brest, 29200, France.
Super-resolution (SR) techniques present a suitable solution to increase the image resolution acquired using an ultrasound device characterized by a low image resolution. This can be particularly beneficial in low-resource imaging settings. This work surveys advanced SR techniques applied to enhance the resolution and quality of fetal ultrasound images, focusing Dual back-projection based internal learning (DBPISR) technique, which utilizes internal learning for blind super-resolution, as opposed to blind super-resolution generative adversarial network (BSRGAN), real-world enhanced super-resolution generative adversarial network (Real-ESRGAN), swin transformer for image restoration (SwinIR) and SwinIR-Large.
View Article and Find Full Text PDFPrediction of clinical risk factors in pregnancy using optimized neural network scheme.
Placenta
March 2025
Department of computer science and engineering, Thiagarajar College of Engineering, Madurai, Tamilnadu, India, 625015. Electronic address:
Women should be aware of prenancy related health issues. A user-friendly model is developed in which the patients can use as well as clinicians to determine the risks associated with foetal development inside the womb, birth weight, whose effects are typically linked to the mother through biological relationships. Recent advances in computer vision and artificial intelligence offer new techniques for automated evaluation of medical images across a variety of fields, including ultrasound (US) images.
View Article and Find Full Text PDFVirtual Post Mortem in Fetuses and Newborns for the Verification of Congenital Heart Malformations.
Pediatr Cardiol
March 2025
Department of Pediatric Cardiology, The Edmond J. Safra International Congenital Heart Center, Sheba Medical Center, Ramat Gan, Israel.
Post-mortem examinations of fetuses and newborns with congenital anomalies pose significant challenges, especially in cases of induced termination of pregnancy. To address this, we explored the use of virtual post-mortem examination (VPM) via computed tomography angiography (CTA) as a potential alternative. The study was conducted at Sheba Medical Center from January 2013 to June 2019.
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