Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Medical ultrasound (US) image segmentation and quantification can be challenging due to signal dropouts, missing boundaries, and presence of speckle, which gives images of similar objects quite different appearance. Typically, purely intensity-based methods do not lead to a good segmentation of the structures of interest. Prior work has shown that local phase and feature asymmetry, derived from th...
Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been recognized as contributing to the disease, including obesity, coronary artery disease (CAD), hypertension, hyperlipidemia, diabetes, smoking, and family history of premature CAD. This paper describes and evaluates a methodology to extract mentions of...
Vitamin D deficiency is a common health problem in Saudi Arabia especially in children and adolescents. Many studies have reported the relation betwee...
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on...
There has recently been much advancement in the diagnosis, treatment, and research of metabolic disorders, especially diabetes. Current research aroun...
OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several studies have demonstrated the overall feasibility ...
OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positi...
Despite the considerable number of in vivo and in vitro studies on the digestive fate of lipophilic nutrients, micronutrients, and bioactives, the eff...
This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plan...
Diabetes mellitus is a chronic disease and a worldwide public health challenge. It has been shown that 50-80% proportion of T2DM is undiagnosed. In th...
Mineral image classification is important for geological exploration and resource development, but it remains challenging due to substantial intra-cla...
Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral...
Accurate estimation of body-composition outcomes, including body fat percentage (BFP), bone mineral density (BMD), and appendicular lean mass (ALM), i...
Geospatial foundation models such as the AlphaEarth Foundation produce compact and globally consistent representations of the Earth's surface that tra...
Three-dimensional probabilistic inversion of time-domain airborne electromagnetic (AEM) data is limited by the cost of the forward solve. Even though ...
Background. Phthalates are hypothesised to act as metabolic disruptors, and machine learning applied to the National Health and Nutrition Examination ...
Objective To develop and evaluate an automated large language model (LLM)-based framework for conducting meta-analyses of nutrition-related exposures ...
Background: The growing burden of lifestyle-related chronic diseases has increased the need for clinically interpretable decision-support tools capabl...
Abstract Background The gut microbiome has been widely studied in the context of obesity, and yet the reported associations vary widely across populat...
Human milk contains a diverse array of metabolites that contribute to infant nutrition, immune development, and microbial colonization. The maternal f...