About this Research Topic

Background

Diabetes mellitus (DM) is a rapidly growing global health concern, with approximately 463 million individuals aged 20 to 79 diagnosed as of 2019, and projections indicating this number could rise to 700 million by 2045. DM is among the top 10 factors contributing to global mortality, underscoring the urgent need for improved diagnosis, monitoring, and treatment strategies. Nutrition management is a critical component in the treatment of diabetes, as it plays a central role in managing blood glucose levels and overall health. However, the complexity of dietary needs, potential food-drug interactions, and the presence of comorbidities necessitate a personalized approach to dietary management. Recent advancements in digital health tools, particularly those leveraging artificial intelligence (AI) and machine learning (ML), offer promising solutions for creating customized, data-driven dietary plans that can significantly enhance the quality of life for DM patients. Despite these advancements, there remains a gap in the comprehensive integration of these technologies into everyday clinical practice, highlighting the need for further research and development in this area.

This research topic aims to explore and advance the field of smart dietary management for precision diabetes mellitus care. The primary objective is to investigate how AI and ML can be utilized to develop personalized dietary recommendations and management plans that cater to the unique needs of individuals with DM. Key questions include how these technologies can improve blood glucose control, enhance patient adherence to dietary guidelines, and integrate seamlessly with existing medical systems. Hypotheses to be tested include the effectiveness of AI-based applications in maintaining near-normal blood glucose levels and the potential for these tools to reduce the incidence of diabetes-related complications.

To gather further insights into the boundaries of smart dietary management for DM, we welcome articles addressing, but not limited to, the following themes:

• AI-based personalized dietary recommendation systems
• Multimodal, visual, and causal explainability in dietary management
• Remote patient monitoring for dietary adherence
• Methodologies for dietary education for DM patients
• Clinical decision support systems for diet control
• Computer vision models for estimating carbohydrate content in meals
• Semantic food-drug interaction detection and management
• Integrated electronic health records for diet management in DM patients
• Role of mHealth in promoting behavioral changes and treatment adherence in diabetic patients
• Nutritional management strategies for diabetic patients with comorbid autoimmune disorders, such as celiac disease
• Impact of social, technological, and cultural factors on the nutritional management of diabetes
• Approaches to improving the quality of life through nutritional management in diabetic patients

This Research Topic welcomes manuscripts focused on methodological developments in the nutritional management of diabetes. Manuscripts that report studies and clinical trials about the effect of a particular dietary intervention on diabetes outcomes are outside the scope of this Research Topic.

Article types and fees

This Research Topic is open for submission in the following formats:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic is open for submission in the following formats:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Policy and Practice Reviews
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Dietary Management, Diabetes Mellitus, Glycemic Control, Artificial Intelligence, Precision Medicine, Mobile Apps, Computer Vision Models, Trustworthy AI, Drug Interaction, Autoimmune Disorders

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.

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