Latest AI and machine learning research in metabolic syndrome for healthcare professionals.
Patients with cancer often exhibit multiple co-occurring symptoms which can impact the type of treat...
BACKGROUND: The impact of pulmonary hypertension (PH) on outcomes after surgical tricuspid valve rep...
Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the eme...
Accurate diagnosis of pulmonary hypertension (PH) is crucial to ensure that patients receive timely ...
This study aimed to examine whether the diagnostic accuracy of four noninvasive tests (NITs) for det...
INTRODUCTION: There is a higher prevalence of non-dipping pattern in hypertensive chronic kidney dis...
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the comm...
Short chain fatty acids (SCFA) are the main products of indigestible carbohydrates undergoing bacter...
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in aquati...
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk f...
Due to the growing public awareness of cardiovascular disease (CVD), blood pressure (BP) estimation ...
Background Real-world healthcare data are an important resource for epidemiologic research. However,...
BACKGROUND: Semisupervised and unsupervised anomaly detection methods have been widely used in vario...
BACKGROUND: To date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there ha...
Current BP measurements are on the basis of traditional BP cuff approaches. Ambulatory BP monitoring...
We studied the use of a rotating multi-layer 3D Light Detection And Ranging (LiDAR) sensor (specific...
Background Women with congenital heart disease are considered at high risk for adverse events. There...
The use of artificial intelligence in numerous prediction and classification tasks, including clinic...
This study sought to evaluate the association of breast arterial calcification (BAC) on breast scree...
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the predic...
A 3-week-old boy with viral gastroenteritis was by error given 200 mL 1 mmol/mL hypertonic saline in...