Papers Nutrition
“Nutrition” 태그가 달린 논문 202편 · 필터 해제
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents
Centuries-old Islamic medical texts like Avicenna's Canon of Medicine and the Prophetic Tibb-e-Nabawi encode a wealth of preventive care, nutrition, and holistic therapies, yet remain inaccessible to many and underutiliz…
Language ModelingLanguage ModellingMedical Question AnsweringNutrition+4Coefficient Shape Transfer Learning for Functional Linear Regression
In this paper, we develop a novel transfer learning methodology to tackle the challenge of data scarcity in functional linear models. The methodology incorporates samples from the target model (target domain) alongside t…
NutritionregressionTransfer LearningRHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being
The rise of large language models (LLMs) has created new possibilities for digital twins in healthcare. However, the deployment of such systems in consumer health contexts raises significant concerns related to hallucina…
HallucinationInstruction FollowingNutritionEstimating Visceral Adiposity from Wrist-Worn Accelerometry
Visceral adipose tissue (VAT) is a key marker of both metabolic health and habitual physical activity (PA). Excess VAT is highly correlated with type 2 diabetes and insulin resistance. The mechanistic basis for this path…
NutritionVolTex: Food Volume Estimation using Text-Guided Segmentation and Neural Surface Reconstruction
Accurate food volume estimation is crucial for dietary monitoring, medical nutrition management, and food intake analysis. Existing 3D Food Volume estimation methods accurately compute the food volume but lack for food p…
ManagementNutritionSurface ReconstructionClimate impacts and monetary costs of healthy diets worldwide
About 2.8 billion people worldwide cannot afford the least expensive foods required for a healthy diet. Since 2020, the Cost and Affordability of a Healthy Diet (CoAHD) has been published for all countries by FAO and the…
NutritionVolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation
Accurate food volume estimation is crucial for medical nutrition management and health monitoring applications, but current food volume estimation methods are often limited by mononuclear data, leveraging single-purpose …
3D ReconstructionCamera CalibrationNutritionVideo Segmentation+1Advancing Food Nutrition Estimation via Visual-Ingredient Feature Fusion
Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingredient recognition, progress in nutrition…
Data AugmentationNutritionWaLLM -- Insights from an LLM-Powered Chatbot deployment via WhatsApp
Recent advances in generative AI, such as ChatGPT, have transformed access to information in education, knowledge-seeking, and everyday decision-making. However, in many developing regions, access remains a challenge due…
ChatbotNutritionFoodTrack: Estimating Handheld Food Portions with Egocentric Video
Accurately tracking food consumption is crucial for nutrition and health monitoring. Traditional approaches typically require specific camera angles, non-occluded images, or rely on gesture recognition to estimate intake…
Gesture RecognitionNutritionExploring Convolutional Neural Networks for Rice Grain Classification: An Explainable AI Approach
Rice is an essential staple food worldwide that is important in promoting international trade, economic growth, and nutrition. Asian countries such as China, India, Pakistan, Thailand, Vietnam, and Indonesia are notable …
NutritionWorld Food Atlas Project
A coronavirus pandemic is forcing people to be "at home" all over the world. In a life of hardly ever going out, we would have realized how the food we eat affects our bodies. What can we do to know our food more and con…
NutritionAssociation between nutritional factors, inflammatory biomarkers and cancer types: an analysis of NHANES data using machine learning
Background. Diet and inflammation are critical factors influencing cancer risk. However, the combined impact of nutritional status and inflammatory biomarkers on cancer status and type, using machine learning (ML), remai…
NutritionA Systematic Review on Women's Participation in Agricultural Work and Nutritional Outcomes
While agriculture is recognised as vital for improving nutrition, the evidence linking women's participation to sustained nutritional gains remains inconclusive. This review synthesizes studies published between 2000 and…
NutritionPersonalized 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-related diseases. With the diverse range of foods consumed across various cultures, classic food classification models ha…
ClassificationNutritionPrediction of amino acid content in live black soldier fly larvae using near infrared spectroscopy
Black soldier fly (Hermetia illucens) larvae are emerging as a sustainable protein source for animal feed and human nutrition. Ensuring consistent amino acid composition is crucial for quality control, necessitating rapi…
NutritionNutriGen: 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 meal planning due to nutritional complexity, time constraints, and lack of dietary knowledge. Personalized food recommendati…
NutritionPrompt EngineeringRecommendation SystemsScaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
Reasoning about images with rich text, such as charts and documents, is a critical application of vision-language models (VLMs). However, VLMs often struggle in these domains due to the scarcity of diverse text-rich visi…
NutritionCuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's Nest
Massive high-quality data, both pre-training raw texts and post-training annotations, have been carefully prepared to incubate advanced large language models (LLMs). In contrast, for information extraction (IE), pre-trai…
Instruction FollowingNutritionHD-EPIC: A Highly-Detailed Egocentric Video Dataset
We present a validation dataset of newly-collected kitchen-based egocentric videos, manually annotated with highly detailed and interconnected ground-truth labels covering: recipe steps, fine-grained actions, ingredients…
Action RecognitionNutritionObjectSemantic Segmentation+3