Latest AI and machine learning research in dyslipidemia for healthcare professionals.
Obesity, a growing global health concern, is linked to severe ailments such as cardiovascular diseas...
Obesity is increasingly taking an important stage as a cause of death worldwide, and interventions ...
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scori...
OBJECTIVES: This study expolored the relationship between perivascular adipose tissue (PVAT) radiomi...
Medical image analysis poses significant challenges due to limited availability of clinical data, wh...
Metabolomic data often present challenges due to high dimensionality, collinearity, and variability ...
Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary ...
Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exer...
In this paper, the first e-nose system coupled with machine learning algorithm for noninvasive measu...
Several pieces of evidence have been reported regarding the association between periodontitis and sy...
Age and aging are important predictors of health status, disease progression, drug kinetics, and eff...
This study investigated the modification of highland barley bran through co-fermentation of Lactobac...
AIMS: Artificial intelligence is increasingly used in the medical field. We assessed the accuracy an...
This study addresses the challenges of human-robot interactions in real-time environments with adapt...
Abdominal aortic aneurysm (AAA) represents a permanent and localized widening of the abdominal aort...
BACKGROUND: This study aimed to understand the collective impact of trace elements, vitamins, choles...
OBJECTIVES: Panoramic radiographs (PRs) can reveal an incidental finding of atherosclerosis, or caro...
This study aims to use machine learning model to predict laboratory aspirin resistance (AR) in Chine...
BACKGROUND: Alzheimer's disease (AD) represents a progressive neurodegenerative disorder characteriz...
Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with i...
This study develops regression models for predicting blood biochemical data using Fourier-transform ...