Primary Care

Diet & Nutrition

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

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Showing 1240-1260 of 2,519 articles
M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data

Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...

Cloud based DevOps Framework for Identifying Risk Factors of Hospital Utilization

A scalable and reliable system is required to analyze the National Health and Nutrition Examinatio...

Mobile-Driven Incentive Based Exercise for Blood Glucose Control in Type 2 Diabetes

We propose and create an incentive based recommendation algorithm aimed at improving the lifestyle...

Image registration of 2D optical thin sections in a 3D porous medium: Application to a Berea sandstone digital rock image

This study proposes a systematic image registration approach to align 2D optical thin-section imag...

Multimodal Reference Visual Grounding

Visual grounding focuses on detecting objects from images based on language expressions. Recent La...

DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splatting

Reconstructing sharp 3D representations from blurry multi-view images are long-standing problem in...

Using Machine Learning for Lunar Mineralogy-I: Hyperspectral Imaging of Volcanic Samples

This study examines the mineral composition of volcanic samples similar to lunar materials, focusi...

Personalized Class Incremental Context-Aware Food Classification for Food Intake Monitoring Systems

Accurate food intake monitoring is crucial for maintaining a healthy diet and preventing nutrition...

MarsLGPR: Mars Rover Localization with Ground Penetrating Radar

In this work, we propose the use of Ground Penetrating Radar (GPR) for rover localization on Mars....

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity

Postprandial hyperglycemia, marked by the blood glucose level exceeding the normal range after mea...

Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks

We propose a novel Graph Neural Network-based method for segmentation based on data fusion of mult...

Image-based food groups and portion prediction by using deep learning.

Chronic diseases such as obesity and hypertension due to malnutrition can be prevented by following ...

Mar 2025 40052549
A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog.

In small animal practice, patients often present with urinary lithiasis, and prediction of urolith c...

Mar 2025 40065198
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence

Maintaining a balanced diet is essential for overall health, yet many individuals struggle with me...

Challenges for Predictive Modeling With Neural Network Techniques Using Error-Prone Dietary Intake Data.

Dietary intake data are routinely drawn upon to explore diet-health relationships, and inform clinic...

Feb 2025 39921576
Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data

Traditional geological mapping, based on field observations and rock sample analysis, is inefficie...

Estimation of Food Intake Quantity Using Inertial Signals from Smartwatches

Accurate monitoring of eating behavior is crucial for managing obesity and eating disorders such a...

A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran

Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before ...

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