Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

Background and aims Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Obesity is considered a principal public health concern and ranked as the fifth foremost
reason for death globally. Overweight and obesity are one of the main lifestyle illnesses that …

Rich sources of obesity‐related data arising from sensors, smartphone apps, electronic
medical health records and insurance data can bring new insights for understanding …

Social determining factors such as the adverse influence of globalization, supermarket
growth, fast unplanned urbanization, sedentary lifestyle, economy, and social position slowly …

Obesity is strongly associated with multiple risk factors. It is significantly contributing to an
increased risk of chronic disease morbidity and mortality worldwide. There are various …

Abstract Background This Obesity Medicine Association (OMA) Clinical Practice Statement
(CPS) provides clinicians an overview of Artificial Intelligence, focused on the management …

Childhood and adolescent obesity is a serious health problem that is on the rise at the
global level. Earlier, certain diseases such as Type 2 diabetes, high blood pressure, and …

Obesity and overweight has increased in the last year and has become a pandemic disease,
the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and …

Background Predicting the likelihood of success of weight loss interventions using machine
learning (ML) models may enhance intervention effectiveness by enabling timely and …