Journal of Korean medical science
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J. Korean Med. Sci. · Oct 2024
Barriers and Facilitators of Pediatric Obesity Prevention and Management (POPM) Programs in Korea: Focusing on the Questionnaire About the Linkage in Community Level.
Recent global trends indicate a rise in pediatric obesity, reflecting patterns also observed in South Korea. Given its significant impact on chronic disease prevalence in adulthood, pediatric obesity poses potential societal challenges. For pediatric obesity-related prevention or management programs in community level to operate effectively, there needs to be a clear understanding of barriers and facilitators of the programs. This study aims to establish a foundation for policy implementation, contributing to pediatric obesity prevention and management (POPM) in Korea. ⋯ The study highlights the urgent need for strategies to address pediatric obesity in South Korea. Weak institutional linkages hinder effective programs. Challenges include student availability, participation, and the need for innovative programs. New approaches to build partnerships in harmony among institutions are necessary. Implementing findings into policy can help prevent obesity in Korean children and adolescents.
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J. Korean Med. Sci. · Oct 2024
Suicide Rates and Subgroups With Elevated Suicide Risk Among Patients With Psychiatric Disorders: A Nationwide Cohort Study in Korea.
Despite the distinctly high risk of suicide among patients with psychiatric disorders, little is known regarding the nationwide rates and risk factors for suicide among individual subgroups of patients with psychiatric disorders. This study aimed to assess differences in suicide rates and identify risk factors for suicide across multiple psychiatric diseases using data from a nationally representative cohort in Korea. ⋯ The current study observed substantial variations in suicide rates and risk factors across psychiatric disorders and patient characteristics, which have significant implications for suicide prevention strategies.
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J. Korean Med. Sci. · Oct 2024
ReviewMedical Education Challenges in the Era of Internationalization and Digitization.
Prior to the coronavirus disease 2019 (COVID-19) pandemic, Central Asia and Eastern Europe saw a significant rise in international medical student enrollment, driven by competitive tuition fees, prestigious institutions, and culturally diverse environments. The pandemic forced a rapid shift to online learning, disrupting student mobility and compromising clinical training quality. Online education for international medical students during the COVID-19 pandemic has proven beneficial, though low- and middle-income countries struggled with access to information infrastructure and resources. ⋯ Critical thinking and cultural competence are vital, necessitating explicit instruction and collaborative learning strategies. Addressing language barriers through comprehensive support systems for both instructors and students is imperative. Tailored strategies and robust institutional support are essential to enhancing the educational experiences and success of international medical students.
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J. Korean Med. Sci. · Oct 2024
Single-Center Experience With Dynamic Contrast-Enhanced Magnetic Resonance Lymphangiography for Diagnosing Lymphatic Disorders and Guiding Percutaneous Embolization.
The pragmatic role of dynamic contrast-enhanced magnetic resonance lymphangiography (DCMRL) needs to be evaluated and compared across distinct lymphatic disorders. We aimed to evaluate the performance of DCMRL for identifying the underlying causes of lymphatic disorders and to define the potential benefit of DCMRL for planning lymphatic interventions. ⋯ DCMRL can help identify the underlying causes of lymphatic disorders. The performance of DCMRL and clinical outcomes vary based on the underlying cause. The feasibility of lymphatic intervention can be determined using DCMRL, which can help in predicting clinical outcomes.
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J. Korean Med. Sci. · Oct 2024
Identification of Preeclamptic Placenta in Whole Slide Images Using Artificial Intelligence Placenta Analysis.
Preeclampsia (PE) is a hypertensive pregnancy disorder linked to placental dysfunction, often involving pathological lesions like acute atherosis, decidual vasculopathy, accelerated villous maturation, and fibrinoid deposition. However, there is no gold standard for the pathological diagnosis of PE and this limits the ability of clinicians to distinguish between PE and non-PE pregnancies. Recent advances in computational pathology have provided the opportunity to automate pathological analysis for diagnosis, classification, prediction, and prediction of disease progression. In this study, we assessed whether computational pathology could be used to identify PE placentas. ⋯ The proposed computational pathology model demonstrated a strong ability to identify preeclamptic placentas. Computational pathology has the potential to improve the identification of PE placentas.