Innovative Technologies for Dietary Assessment
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition Methodology & Assessment".
Deadline for manuscript submissions: closed (25 February 2025) | Viewed by 3353
Special Issue Editor
2. Population, Policy and Practice Research and Teaching Department, GOS Institute of Child Health, UCL, London, UK
3. Department of Cardiovascular Science, College of Life Science, University of Leicester, Leicester, UK
4. NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
Interests: dietary assessment tools; diet and health inequalities; nutritional epidemiology; lifecourse epidemiology; measurement error; reference equations
Special Issue Information
Dear Colleagues,
This Special Issue on “Innovative Technologies for Dietary Assessment” emphasises the pivotal role of dietary intake assessment at both individual and population levels in elucidating the relationship between diet and health outcomes. The integration of new technologies has transformed traditional paper-based dietary assessment methods, rendering self-monitoring more practical and accurate. Artificial intelligence (AI), big data, and smart devices, including smartphones and wearable sensors, are revolutionising dietary assessment by enhancing portion size estimation and providing real-time, personalised nutritional recommendations. As the field of dietary assessment evolves with technological advancements, this issue explores the potential of AI and other innovative tools to improve dietary measurement accuracy and promote better health outcomes.
We request original articles related to this topic, including research papers and reviews, with topics including, but not limited to, the following:
- Technological Transformation of Dietary Assessment;
- Innovative Tools and Technologies;
- Portion Size Assessment Technologies;
- Challenges in Dietary Measurement;
- Role of AI in Nutrition;
- Recent Technological Advances;
- Interdisciplinary Research Approaches.
Dr. Vasiliki Bountziouka
Guest Editor
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- dietary assessment
- nutritional assessment
- artificial intelligence (AI)
- digital technologies
- wearable sensors
- precision nutrition
- software application.
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