| AI | Artificial Intelligence |
| AR | Augmented Reality |
| CKD | Chronic Kidney Disease |
| CNN | Convolutional Neural Network |
| DB | Database |
| DR | Diet Recommendation |
| DT | Data Type |
| FCDB | Food Composition Database |
| FEA | Food–Effect Analysis |
| GAN | Generative Adversarial Network |
| GenAI | Generative Artificial Intelligence |
| H | High |
| HCP | Healthcare Professional |
| K&DF | Knowledge and Data Foundations |
| KG | Knowledge Graph |
| L | Low |
| LLM | Large Language Model |
| LoTR | Lack of transparency |
| M | Moderate |
| MAS | Multi-Agentic Systems |
| OCR | Optical Character Recognition |
| PN | Precision Nutrition |
| RAG | Retrieval-Augmented Generation |
| RoB | Risk of Bias |
| SPC | Security and Privacy Concerns |
| T2D | Type 2 Diabetes |
| SHAP | Shapley Additive Explanations |
| USDA | United States Department of Agriculture |
| VAE | Variational Autoencoder |
| VS | Validation Source |
| WGAN-GP | Wasserstein GAN with Gradient Penalty |