Latest AI and machine learning research in diet & nutrition for healthcare professionals.
This study addresses the pressing need for improved methods to predict lean mass in adults, and in p...
Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal...
OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an...
Obesity recognition in adolescents is a growing concern. This study presents a deep learning-based o...
STUDY DESIGN: Retrospective cohort study.
Brown rice over-milling causes high economic and nutrient loss. The rice degree of milling (DOM) det...
As the call for an international standard for milk from grassland-based production systems continues...
PURPOSE: This study aimed to develop machine learning methods to estimate bone mineral density and d...
AIMS: This study aims to enhance the precision of obesity risk assessments by improving the accuracy...
The kidney is an abdominal organ in the human body that supports filtering excess water and waste fr...
Pediatric obesity can drastically heighten the risk of cardiometabolic alterations later in life, wi...
An artificial intelligence-assisted prediction model for enteral nutrition-associated diarrhoea (EN...
Established life course approaches suggest that health status in adulthood can be influenced by even...
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the i...
Milk minerals are not only essential components for human health, but they can be informative for mi...
BACKGROUND: Increasing epidemiologic studies have shown a positive correlation between obesity and c...
According to the main international guidelines, patients with obesity and psychiatric/psychological ...
The objective of this study was to investigate the change in mineral composition depending on tea va...
Poor diet is the top modifiable mortality risk factor globally, accounting for 11 million deaths ann...
For artificial intelligence (AI) to support nutrition care, high quality and accuracy of its feature...
BACKGROUND: In recent years, numerous methods have been introduced to predict glucose levels using m...