Latest AI and machine learning research in obesity for healthcare professionals.
Application of machine learning techniques has the potential to yield unseen insights into movement ...
A method of analysis of a database of patients (n = 10 329) screened for an abdominal aortic aneurys...
BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diab...
INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is rou...
The human daily activity category represents individual lifestyle and pattern, such as sports and sh...
To create a pre-operatively usable tool to identify patients at high risk of early death (within 90...
Background Nonalcoholic fatty liver disease and its consequences are a growing public health concern...
Small molecules targeting peripheral CB1 receptors have therapeutic potential in a variety of disord...
INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly re...
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict ...
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress...
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive v...
The Charlson comorbidity index is an outdated comorbidity assessment tool which is not disease speci...
The lifestyle of modern society has changed significantly with the emergence of artificial intellige...
The obesity epidemic progresses everywhere across the globe, and implementing frequent nationwide su...
PURPOSE: This study investigated the effects of obesity on breast size, thoracic spine structure and...
Despite the increasing literature on the association of diabetes with inflammation, cardiovascular ...
BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities...
Although many real-time neural decoding algorithms have been proposed for brain-machine interface (B...
Robot-assisted simple prostatectomy (RASP) performed with the extraperitoneal (EP) technique (RASP-...