Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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Showing 274-294 of 2,508 articles
Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease.

OBJECTIVES: Exclusive enteral nutrition (EEN) is a first-line treatment for induction of remission i...

Nov 2025 41318965
Global analysis of mineral aerosol and industrial effects on lake water quality using spectral indices and machine learning.

The complex physical and chemical interactions between desert mineral aerosol, industrial pollutants...

Nov 2025 41353998
Artificial intelligence-guided nutritional therapy in the ICU.

PURPOSE OF REVIEW: Critical care nutrition remains a high-stakes and error-prone domain, particularl...

Nov 2025 41285167
Artificial intelligence in clinical nutrition. A narrative review.

The rapid integration of Artificial Intelligence (AI) into healthcare, particularly clinical nutriti...

Nov 2025 41285366
Machine Learning-Based Transcriptomic Diagnosis of Periodontitis.

BACKGROUND: Periodontitis, a prevalent chronic inflammatory disease, remains a global health challen...

Nov 2025 41265166
Integrating multi-omics data for personalized nutrition using knowledge graphs and graph neural networks: A comprehensive review.

This comprehensive review focuses on the use of knowledge graphs and Graph Neural Networks (GNNs) to...

Nov 2025 41240439
Optimal adherence thresholds for oral anticoagulants in patients with atrial fibrillation using machine learning and population administrative data.

BACKGROUND: Adherence to oral anticoagulants (OACs) for atrial fibrillation (AF) stroke prevention i...

Nov 2025 41224177
Comparing ChatGPT with healthcare provider responses to home parenteral nutrition questions.

BACKGROUND: Patients receiving home parenteral nutrition (HPN) face complex challenges and increasin...

Nov 2025 41206692
Artificial intelligence (AI) in nutrition: A case-based comparison of generative AI models.

BACKGROUND: Clinical nutrition (CN) is becoming increasingly complex because of the rising prevalenc...

Nov 2025 41199451
Combination of artificial intelligence and chest computed tomography to assess bone mineral density.

OBJECTIVES: To evaluate the diagnostic accuracy of artificial intelligence-assisted opportunistic ch...

Nov 2025 41175204
Advancing osteoporosis opportunistic screening: multicenter validation of a deep learning algorithm using abdominal CT scans.

OBJECTIVES: To develop and do multicenter validation on an algorithm that screens for osteoporosis f...

Oct 2025 41171405
FANS: A framework for automatic assessment of nutritional status based on free-text clinical notes.

BACKGROUND: The prevalence of malnutrition is common in hospitalized patients. Timely and efficient ...

Oct 2025 41172788
Machine learning identification of factors associated with exclusive breastfeeding in Brazilian infants: Cross-sectional analysis of the ENANI-2019 survey.

BACKGROUND: Exclusive breastfeeding (EBF) for the first six months is recommended by the World Healt...

Oct 2025 41218392
Precision Nutritional Genomics, Gut Microbiota and Artificial Intelligence in Chronic Kidney Disease.

Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD i...

Oct 2025 41056462
Honey bee nutritranscriptomics reveals key insights towards precision nutrition.

INTRODUCTION: Honey bees are essential managed pollinators faced by nutritional deficiencies which c...

Sep 2025 41038510
AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

PURPOSE: Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quali...

Sep 2025 41020581
AI-driven innovations for dental implant treatment planning: A systematic review.

PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models i...

Sep 2025 40967790
Using machine learning to predict the consumption of a Mediterranean diet with untargeted metabolomics data from controlled feeding studies.

BACKGROUND AND AIMS: Developing metabolomic signatures of diets is a promising strategy to better un...

Sep 2025 40935713
Integrative machine learning approach to risk prediction for dementia and Alzheimer's disease.

Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characte...

Aug 2025 40864401
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