About this Research Topic
In the era of rapid development of artificial intelligence (AI), the integration of AI with clinical nutrition, chronic disease management, nutritional intervention, and health management highlights the immense potential of technology in meeting individual health needs, which was previously unattainable. By combining knowledge from clinical nutrition and AI technology, personalized nutrition plans tailored to individuals can be developed to help manage chronic diseases and improve health conditions. This trend signifies a revolutionary advancement in the field of human health management. However, this optimistic outlook is not without challenges. The complexity of data collection, coupled with the demand for algorithms that offer both accuracy and reliability, presents significant obstacles that must be overcome through rigorous and innovative approaches. This research topic aims to serve as a premier platform for disseminating cutting-edge research in nutrition, fostering dynamic exchanges of ideas, methodologies, and discoveries among experts in AI and nutrition. By cultivating a collaborative academic community, it seeks to enhance technological applications in nutrition and ultimately contribute to advancing public health outcomes. This research topic not only signifies a pivotal moment in the integration of AI and nutrition but also embodies a collective ambition to utilize technological prowess in creating optimal health and well-being for individuals worldwide.
This research topic aims to establish a prominent platform at the intersection of Clinical Nutrition, Artificial Intelligence, Chronic Disease Management, Nutritional Intervention, and Health Management. We aim to address current challenges in applying AI to personalized dietary planning and management of chronic diseases. By introducing the latest technologies and methodologies, we seek to foster a more precise understanding of individual nutritional needs. Through collaboration between academic and industry experts, our objective is to accelerate innovation in the fields of nutrition and artificial intelligence. Ultimately, we aim to deliver more intelligent and personalized solutions for managing chronic diseases and improving overall health and quality of life on a global scale.
We welcome submissions from scholars, researchers, and industry experts worldwide. Authors should have expertise and research experience in artificial intelligence, nutrition, or related fields.
Accepted areas of submissions:
- Clinical Nutrition Assessment and Customized Dietary Plans: Including research on individual nutrition requirement prediction based on artificial intelligence, dietary habit analysis, and customized dietary recommendations.
- Chronic Disease Management and Preventive Nutrition: Research on the application of artificial intelligence in chronic disease prevention, health management, and nutritional interventions, including predictive models based on big data and machine learning.
- Clinical Nutrition and Artificial Intelligence: Exploring the integration of artificial intelligence in clinical nutrition research, including predictive modeling, personalized dietary recommendations, and innovative approaches for health management.
- Nutritional Intervention in Biological and Metabolic Regulation: Exploring research on artificial intelligence in nutritional biology, metabolic regulation, and the interaction between nutrition and genetics to promote the development of personalized nutrition.
- Intelligent Dietary Assistance Tools and Applications: Developing and evaluating AI-based nutrition management software, intelligent dietary assistance tools, and mobile applications to promote healthy eating and lifestyle.
We encourage submissions of original research, review articles, methodological papers, and technical reports aimed at promoting the interdisciplinary integration of artificial intelligence and nutrition, providing new perspectives and solutions for personalized nutrition assessment and health management.
This research topic aims to establish a prominent platform at the intersection of Clinical Nutrition, Artificial Intelligence, Chronic Disease Management, Nutritional Intervention, and Health Management. We aim to address current challenges in applying AI to personalized dietary planning and management of chronic diseases. By introducing the latest technologies and methodologies, we seek to foster a more precise understanding of individual nutritional needs. Through collaboration between academic and industry experts, our objective is to accelerate innovation in the fields of nutrition and artificial intelligence. Ultimately, we aim to deliver more intelligent and personalized solutions for managing chronic diseases and improving overall health and quality of life on a global scale.
We welcome submissions from scholars, researchers, and industry experts worldwide. Authors should have expertise and research experience in artificial intelligence, nutrition, or related fields.
Accepted areas of submissions:
- Clinical Nutrition Assessment and Customized Dietary Plans: Including research on individual nutrition requirement prediction based on artificial intelligence, dietary habit analysis, and customized dietary recommendations.
- Chronic Disease Management and Preventive Nutrition: Research on the application of artificial intelligence in chronic disease prevention, health management, and nutritional interventions, including predictive models based on big data and machine learning.
- Clinical Nutrition and Artificial Intelligence: Exploring the integration of artificial intelligence in clinical nutrition research, including predictive modeling, personalized dietary recommendations, and innovative approaches for health management.
- Nutritional Intervention in Biological and Metabolic Regulation: Exploring research on artificial intelligence in nutritional biology, metabolic regulation, and the interaction between nutrition and genetics to promote the development of personalized nutrition.
- Intelligent Dietary Assistance Tools and Applications: Developing and evaluating AI-based nutrition management software, intelligent dietary assistance tools, and mobile applications to promote healthy eating and lifestyle.
We encourage submissions of original research, review articles, methodological papers, and technical reports aimed at promoting the interdisciplinary integration of artificial intelligence and nutrition, providing new perspectives and solutions for personalized nutrition assessment and health management.
Keywords: Clinical Nutrition, Artificial Intelligence, Chronic Disease Management, Nutritional Intervention, Health Management
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
