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http://dx.doi.org/10.1093/asj/sjy051 | DOI Listing |
Soc Sci Med
December 2024
Jordan Schnitzer Museum of Art at the University of Oregon, Eugene, OR, USA. Electronic address:
Purpose: To create and implement a Whole Personhood in Medical Education curriculum including Visual Thinking Strategies (VTS), close reading, and creative practice that features creative works by BIPOC, persons with disability, and/or LGBTQ + individuals that aligns with educational competencies.
Materials And Methods: Curriculum design by an interdisciplinary team made up of physician educators, medical sociologist, digital collection librarian, and art museum educators. Prospective single arm intervention study at a single site academic teaching hospital.
BMC Med Inform Decis Mak
December 2024
Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Digital health has emerged as a promising solution for enhancing health system in the recent years, showing significant potential in improving service outcomes, particularly in low and middle-income countries where accessing essential health service is challenging. This review aimed to determine the effectiveness of short message services on focused antenatal care, skilled birth attendance, and postnatal care improvement in low and middle-income countries.
Method: Electronic databases such as PubMed, EMBASE, Scopus, Cochrane, and Google and Google Scholar were searched.
Aims: Frozen shoulder is a common and debilitating condition characterized by pain and restricted movement at the glenohumeral joint. Various treatment methods have been explored to alleviate symptoms, with suprascapular nerve block (SSNB) emerging as a promising intervention. This meta-analysis aimed to assess the effectiveness of SSNB in treating frozen shoulder.
View Article and Find Full Text PDFBone Joint J
January 2025
Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
Aims: The aims of this study were to develop an automatic system capable of calculating four radiological measurements used in the diagnosis and monitoring of cerebral palsy (CP)-related hip disease, and to demonstrate that these measurements are sufficiently accurate to be used in clinical practice.
Methods: We developed a machine-learning system to automatically measure Reimer's migration percentage (RMP), acetabular index (ACI), head shaft angle (HSA), and neck shaft angle (NSA). The system automatically locates points around the femoral head and acetabulum on pelvic radiographs, and uses these to calculate measurements.
BMC Med Inform Decis Mak
December 2024
Klinikum Stuttgart, Stuttgart Cancer Center - Tumorzentrum Eva Mayr-Stihl DE, Kriegsbergstraße 60, Stuttgart, D-70174, Germany.
Background: Medical narratives are fundamental to the correct identification of a patient's health condition. This is not only because it describes the patient's situation. It also contains relevant information about the patient's context and health state evolution.
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