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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
10 articles
Newest firstBackground: Magnetic resonance cholangiopancreatography (MRCP) enables non-invasive assessment of biliary lithiasis, duct caliber, and associated anatomical findings. Although age-dependent reference limits for common bile duct (CBD) diameter have been described, the relationships among age, gallbladder stone morphology, ductal anatomy, and CBD stones remain incompletely characterized in consecutive radiology coho…
Open article record in new tab ↗BackgroundHypertension remains one of the most challenging healthcare problems in the community. It is a common, measurable, and treatable condition that is nonetheless responsible for millions of preventable deaths each year. Hypertension affects approximately 1.28 billion adults worldwide, yet fewer than half (46%) are aware of their condition. Undiagnosed hypertension is a critical public health gap, contributi…
Medication non-adherence remains a significant challenge in managing chronic conditions like diabetes and hypertension, leading to increased morbidity, preventable hospitalizations, and over $300 billion in annual healthcare costs. This burden is particularly pronounced in resource-limited settings, where fragmented data and limited resources hinder early risk identification. This study introduces MedAdhereAI, an…
Open article record in new tab ↗Stroke remains one of the leading causes of mortality and disability in the United States. However, there are still disparities in how lifestyle and healthcare access shape stroke outcomes. This study investigates the associations between smoking, alcohol consumption, body mass index (BMI), mental and physical health, sleep duration, health insurance status, and stroke incidence using data from the 2022 Behavioral…
Open article record in new tab ↗BackgroundPre-procedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study aimed to identify pre-procedural factors to predict the risk of 30-day all-cause mortality post-PCI using machine learning (ML) approaches. MethodsThe study analysed 93,055 consecutive PCI procedures. Boruta feature…
Open article record in new tab ↗Patient length of stay (LoS) is a critical metric for evaluating the efficacy of hospital management. The primary objectives encompass to improve efficiency and reduce costs while enhancing patient outcomes and hospital capacity within the patient journey. By seamlessly merging data-driven techniques with simulation methodologies, the study proposes an all-encompassing framework for the optimization of patient flo…
Open article record in new tab ↗Cannabis sativa L. is an industrially valuable plant known for its cannabinoids, such as cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), renowned for its therapeutic and psychoactive properties. Despite its significance, the cannabis industry has encountered difficulties in guaranteeing consistent product quality throughout the drying process. Hyperspectral imaging (HSI), combined with advanced machine learni…
Open article record in new tab ↗PurposeThe aim of this study was to establish a model that would enable healthcare providers to use routine follow-up measures of peritoneal dialysis to predict frailty in those patients. DesignA cross-sectional design with Logistic regression and XGBoost machine learning algorithms analysis. MethodsOne hundred and twenty-three cases of peritoneal dialysis patients who underwent regular follow-up at our center wer…
Open article record in new tab ↗Cardiovascular disease (CVD) is a significant global health concern, requiring early detection and accurate prediction for effective intervention. Machine learning (ML) offers a data-driven approach to analyzing patient data, identifying complex patterns and predicting CVD risk factors like blood pressure (BP), cholesterol levels, and genetic predispositions. Our research aims to predict CVD presence using ML algo…
Open article record in new tab ↗BackgroundAs coronavirus 2019 (COVID-19) is spreading globally, several countries are handling dengue epidemics. As both infections are deemed to share similarities at presentation, it would be useful to distinguish COVID-19 from dengue in the context of co-epidemics. Hence, we performed a retrospective cohort study to identify predictors of both infections. Methodology/Principal FindingsAll the subjects suspected…