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The following is a summary of "Delphi consensus-based recommendations of tools and outcomes for the assessment of radiation ...
The following is a summary of "Radiation Exposure Trends with Augmented Fluoroscopy and C-arm-based Tomosynthesis for ...
The following is a summary of “Use of an Artificial Intelligence Platform OpenEvidence to Augment Clinical Decision-Making ...
The following is a summary of “Structural changes in the upper trapezius muscle of fibromyalgia patients identified by ...
This study aimed to explore the psychological impact of quarantine on health workers during the outbreak of the Marburg disease. The study also explored the coping strategies adopted during the period ...
BRCA mutation carriers opting for prophylactic risk-reducing salpingo-oophorectomy (RRSO) face potential impacts on sexual functioning and body image.The aim of the study was to assess the extent of ...
Acute ischemic stroke (AIS) remains a major cause of global morbidity and mortality. This study aimed to evaluate the role of albumin corrected anion gap (ACAG) as a prognostic marker for AIS patients ...
In Peru, transgender women (TW) are highly burdened by the HIV epidemic and stigma-related psychosocial conditions. Yet, a dearth of research has assessed co-occurring psychosocial conditions and HIV ...
The study aimed to assess the willingness of receiving tuberculosis preventive treatment (TPT) and identify influence factors on their decisions among individuals with latent tuberculosis infection ...
This study was conducted to evaluate the sense of humor, treatment compliance, and personal well-being levels of patients receiving hemodialysis (HD) treatment.The research was conducted with 131 ...
This study aimed to identify trajectories of core depressive symptoms and insomnia symptoms in depressed older adults, their prevalence and association, and predictors of unfavorable trajectories.We ...
Lumbar prolapsed disc (LPD) is a leading cause of low back pain, contributing significantly to global disability and healthcare burden. This study aimed to develop machine learning models to predict ...