Latest AI and machine learning research in diet & nutrition for healthcare professionals.
The deep integration of artificial intelligence (AI) with research on food-derived peptides (FDPs) signifies a paradigm shift towards intelligent precision design and functional optimization in developing FDP products. Random forests, convolutional neural networks and other machine learning and deep learning technologies have markedly expedited bioactive peptide discovery, functional characterizat...
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI-supported interventions for adults with chronic rheumatic diseases. Eligible interventions targeted clinical outcomes (pain, function, di...
INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptomatic dysglycaemia, which precedes T2D, provides op...
The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent societal issues. We developed an artificial intelli...
BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having obesity or sarcopenia alone due to the dual burden o...
OBJECTIVE: To evaluate the efficacy of the "double-low" scanning protocol combined with the artificial intelligence iterative reconstruction (AIIR) al...
BACKGROUND: Rising global obesity rates demand effective weight management strategies from general practitioners (GPs). However, time constraints, tra...
A country's economic growth heavily relies on agricultural productivity, specifically nutrition derived from vegetables and leafy greens. Spinach, abu...
This study, involving a cohort of 980 patients with arterial and/or venous events, evaluated the relative importance of genetic and traditional risk f...
Urban food landscapes significantly influence dietary habits and health outcomes, with disparities in food access contributing to obesity, particularl...
BACKGROUND/OBJECTIVES: Developments in artificial intelligence encourage society to seek advice from artificial intelligence regarding nutrition recom...
The image analysis of rock blasting fragmentation and half-hole rates serves as a pivotal basis for evaluating the quality of geotechnical blasting an...
Vitamin B is a vital nutrient for the normal functioning of many metabolic processes. It has a characteristic corrinoid ring structure with a cobalt i...
Current and upcoming generations of visible-shortwave infrared (VSWIR) imaging spectrometers promise unprecedented capacity to quantify Earth system p...
Cardiometabolic Multimorbidity (CMM) has emerged as one of the primary threats to human health globally due to its high incidence, disability, and mor...
BACKGROUND: This study employed representative data from the U.S. and China to delve into the correlation among migraine prevalence, the triglyceride‒...
BACKGROUND: Atrial fibrillation (AF) is often underdiagnosed and undertreated by noncardiologists. This study evaluated whether artificial intelligenc...
Metabolic syndrome (MetS) is related to non-communicable diseases (NCDs) such as type 2 diabetes (T2D), metabolic-associated steatotic liver disease (...
PURPOSE OF REVIEW: This review explores how artificial intelligence can help advance clinical nutrition and address nutrition education and practice c...
Cardiovascular-kidney-metabolic syndrome (CKM) and its association with exposure to emerging pollutants, particularly perfluoroalkyl and polyfluoroalk...