Latest AI and machine learning research in obesity for healthcare professionals.
This study aimed to develop and validate a machine learning (ML)-based model for predicting liposuct...
Early mortality after hemodialysis (HD) initiation significantly impacts the longevity of HD patient...
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screen...
BACKGROUND: The intake of dietary antioxidants and glycolipid metabolism are closely related to chro...
Obesity is a chronic disease correlated with numerous risk factors that not only negatively affect a...
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompan...
Several pieces of evidence have been reported regarding the association between periodontitis and sy...
This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neu...
Correlations between morphology and lifestyle of extant taxa are useful for predicting lifestyles of...
The rising prevalence of obesity presents significant health, economic, and social challenges, neces...
Frailty is common among older adults with chronic pain, and early identification is crucial in preve...
Given the limited capacity to accurately determine the necessity for intubation in intensive care un...
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from n...
In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is ...
Diabetes management is often complicated by comorbidities, requiring complex medication regimens tha...
BACKGROUND: Overweight and obesity pose a huge burden on individuals and society. While the relation...
BACKGROUND: Obesity has emerged as a growing global public health concern over recent decades. Obesi...
Step counting devices were previously shown to be efficient in a variety of applications such as ath...
PURPOSE: Although noninvasive tests can be used to predict liver fibrosis, their accuracy is limited...
BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention...
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...