Latest AI and machine learning research in diet & nutrition for healthcare professionals.
AIMS: One in 10 patients present to the emergency department (ED) with symptoms of acute coronary sy...
BACKGROUND: Generative artificial intelligence (genAI) has the capacity to create realistic and conv...
INTRODUCTION AND AIM: Insulin resistance and obesity are significant metabolic risk factors for peri...
Patients undergoing maintenance hemodialysis face annual mortality rates of 15-27%, with cardiovascu...
Body composition research utilizing computed tomography (CT) has increased over the past several dec...
BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperat...
Controlling the balance between structural integration and functional maturation of microtissues rem...
BACKGROUND: Osteoporosis (OP) is a prevalent metabolic bone disorder and a major public health conce...
Universal machine learning force fields (UMLFFs) promise to revolutionize materials science by enabl...
Biosignature detection remains a key challenge in astrobiology, yet robust mineral biosignatures rem...
Computational drug discovery relies on virtual screening to prioritize a small number of compounds f...
This systematic review evaluated traditional machine learning (TML) and deep learning (DL) approache...
Background: Mobile health (mHealth) applications are increasingly used for dietary assessment and se...
BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility ...
Artificial Intelligence (AI) is revolutionizing health and nutrition, significantly advancing person...
Cementless total knee arthroplasty (TKA) has regained attention in younger, active, and obese patien...
Accurate assessment of biochemical traits in medicinal plants is essential for supporting environmen...
Type 2 diabetes melittus (T2DM) remains a major public health challenge in the United States, partic...
Artificial intelligence (AI) enables automated, high-throughput adiposity quantification, offering r...
A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic dis...
Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention,...