PubMed COVID-19 Clinical Care

CONCLUSIONS: Seed localization introduces substantially less variability in postimplant QA than does contouring for MRI-based LDRPBT. While automatic seed localization may potentially help improve workflow efficiency, it has limited potential for

Heart transplant recipients have been reported to be at a significantly elevated risk of poor outcomes from COVID-19 infection owing to their underlying comorbidities and immunosuppression. We conducted a single-centre retrospective cohort of all

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Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image

CONCLUSIONS: Telemedicine visits were less often completed by patients of older age, non-white race, male sex, and those residing in counties having higher NDI scores. While telemedicine has the potential to improve healthcare access and decrease

COVID-19 pandemic poses a heavy risk upon global public health. The disease's severity and infection rate are high, especially among cancer patients. The current research was conducted to identify the most common biological pathways and how far they

CONCLUSION: The results of this study determined the pattern of possible changes in key enzymes of prostaglandin and eicosanoids synthesis pathway and their mediators, which can be helpful in mapping the SARS-CoV-2 pathogenicity and pharmaceutical

INTRODUCTION: In the wake of the cultural and mental health consequences that arose since the COVID-19 pandemic, primary care providers must be able to assess and initiate treatment of anxiety disorders in the pediatric population. Only 59% of

The study aims to verify the factorial structure of the self-compassion scale across different cultural contexts. The sample included 1039 students, divided into 521 students from Zagazig University (ZU) and 518 from Princess Nourah University (PNU)

CONCLUSIONS: The ML algorithms seem to be an effective method in early detection and prediction of food insecurity and can profoundly aid policymaking. The integration of ML approaches in public health strategies could potentially improve the