3171 papers
This qualitative study in Uganda reveals that while novel antenatal technologies hold promise for improving maternal care in low-income settings, their successful implementation relies on addressing interconnected challenges related to user acceptability, clinical workflow integration, and broader health system readiness.
This multicenter prospective study demonstrates that while lung ultrasound findings do not differentiate COPD, specific cardiac POCUS patterns (poor parasternal and preserved subcostal views) combined with clinical factors accurately identify COPD, achieving an AUC of 0.94 and a high negative predictive value.
This cross-sectional study of 495 community-dwelling older adults in the UAE reveals a 29.7% prevalence of sarcopenia risk, identifying poor physical performance, cognitive impairment, and inadequate nutritional status as key independent predictors while highlighting the need for comprehensive geriatric screening and interventions.
This retrospective study of 102 patients with locally advanced non-small cell lung cancer treated with definitive chemoradiotherapy found that a low pretreatment prognostic nutritional index (PNI ≤ 43.5) is an independent predictor of worse progression-free and overall survival, whereas other immune-nutritional markers like NLR and PLR showed no significant association.
This study of Dubai Health demonstrates that early employee involvement in system-level healthcare transformation significantly enhances their sense of belonging and reduces territoriality, though it does not significantly impact self-efficacy, self-identity, or accountability.
This case report describes a patient with NTRK1 fusion-positive colorectal cancer who experienced a short-lived response to larotrectinib, highlighting the need for further investigation into resistance mechanisms such as secondary mutations or alternative pathway activation to guide subsequent treatment strategies.
This study demonstrates that combining color Doppler ultrasound with intravascular pressure measurement for femoral vein puncture significantly improves success rates, reduces procedure time, and lowers complication risks compared to conventional techniques.
This study developed and internally validated an interpretable radiomics-based machine learning framework, specifically an XGBoost model, that achieves high accuracy in non-invasively predicting tertiary lymphoid structure status in pancreatic ductal adenocarcinoma patients, offering a promising strategy for immune phenotyping and patient stratification.
This study demonstrates that multi-source formative assessments across cognitive, procedural, and communication domains provide significant incremental validity in predicting undergraduate diagnostic medicine examination performance, thereby supporting the design of multidomain programmatic assessment systems while highlighting the limitations of theory assignments due to ceiling effects.
This study demonstrates that a fully automated AI model for analyzing L3-level body composition effectively predicts both short-term surgical complications and long-term survival outcomes in patients undergoing pancreatectomy, identifying sarcopenia and myosteatosis as critical indicators for risk stratification and personalized clinical decision-making.