Latest AI and machine learning research in obesity for healthcare professionals.
Few studies have been conducted to classify and predict the influence of nutritional intake on overw...
We aimed to assess the accuracy of an artificial intelligence (AI)-based real-time anatomy identific...
HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabl...
We aim to directly compare the feasibility and safety of extended pelvic lymph node dissection (PLN...
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...
BACKGROUND: Obesity prevalence has become one of the most prominent issues in global public health. ...
BACKGROUND: In recent years, mobile-based interventions have received more attention as an alternati...
This study investigates on the relationship between affect-related psychological variables and Body ...
Type 2 diabetes mellitus (T2D) prevalence in the United States varies substantially across spatial a...
Adults consuming sugar-sweetened beverages (SSBs) are at increased risk of becoming overweight/obese...
The literature for robotic mitral repair is dominated by a small number of large volume institutions...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...
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...
Determining the etiologic basis of the mutations that are responsible for cancer is one of the funda...
The increased prevalence of childhood obesity is expected to translate in the near future into a con...
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: 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 ...