Latest AI and machine learning research in obesity for healthcare professionals.
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
BACKGROUND: Identifying individuals at risk for future hospitalization or death has been a major pri...
Crown-like structures (CLSs) are adipose microenvironments of macrophages engulfing adipocytes. Thei...
BACKGROUND: Coronary heart disease, heart failure (HF), and stroke are complex diseases with multipl...
Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water ...
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and ...
Determining the etiologic basis of the mutations that are responsible for cancer is one of the funda...
Wrist accelerometers for assessing hallmark measures of physical activity (PA) are rapidly growing w...
The increased prevalence of childhood obesity is expected to translate in the near future into a con...
Nowadays, owing to population growth, increasing environmental pollution, and lifestyle changes, the...
COVID-19 has infected 77.4 million people worldwide and has caused 1.7 million fatalities as of Dece...
INTRODUCTION: Administrative claims data provide an important source for real-world evidence (RWE) g...
PURPOSE: Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur ...
PURPOSE: In people with obesity, food addiction (FA) tends to be associated with poorer outcomes. It...
The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...
: To evaluate the oncological outcome at 5-year follow-up after laparoscopic cryoablation (LCA) for ...
BACKGROUND AND OBJECTIVE: Long-term electrocardiogram monitoring comes at the expense of signal qual...
This study investigated the diagnostic accuracy of using an artificial neural network (ANN) for the ...