This scoping review explores the role of artificial intelligence (AI) in nutrition research. The study analyzed 22 articles published between 2019 and 2023, focusing on AI applications in nutrition. The findings indicate that AI is primarily used for dietary assessment, with limited use in malnutrition prediction, lifestyle interventions, and understanding diet-related diseases. AI's potential to improve nutrition research is significant, but challenges remain, including ethical concerns, data accuracy, and the need for more clinical studies to validate AI's effectiveness. The review highlights that AI can enhance dietary assessment through technologies like image recognition, natural language processing, and machine learning. However, AI applications in nutrition are still in their early stages, and there is a need for more specialized research to fully understand AI's potential in human nutrition. Ethical issues, such as bias and data privacy, are also critical concerns. The study emphasizes the importance of addressing these issues to ensure AI is used responsibly and effectively in nutrition research. Overall, while AI shows promise in improving nutrition research, further investigation is needed to determine its long-term impact and to ensure it benefits all populations equitably.This scoping review explores the role of artificial intelligence (AI) in nutrition research. The study analyzed 22 articles published between 2019 and 2023, focusing on AI applications in nutrition. The findings indicate that AI is primarily used for dietary assessment, with limited use in malnutrition prediction, lifestyle interventions, and understanding diet-related diseases. AI's potential to improve nutrition research is significant, but challenges remain, including ethical concerns, data accuracy, and the need for more clinical studies to validate AI's effectiveness. The review highlights that AI can enhance dietary assessment through technologies like image recognition, natural language processing, and machine learning. However, AI applications in nutrition are still in their early stages, and there is a need for more specialized research to fully understand AI's potential in human nutrition. Ethical issues, such as bias and data privacy, are also critical concerns. The study emphasizes the importance of addressing these issues to ensure AI is used responsibly and effectively in nutrition research. Overall, while AI shows promise in improving nutrition research, further investigation is needed to determine its long-term impact and to ensure it benefits all populations equitably.