Open-access validation studies, systematic reviews, and methodology papers produced by Initiative researchers and external collaborators. All publications are released under CC BY 4.0.
Background: Image-based and AI-assisted dietary assessment applications have proliferated in both consumer and clinical contexts, yet independent replication of vendor-reported accuracy remains sparse and methodologically heterogeneous. The present study reports an independent, p…
Photo-based and manual-entry dietary assessment represent the two dominant modalities in consumer dietary tracking. Their relative accuracy has been examined in a growing but heterogeneous literature, and their performance is often compared in vendor communications without refere…
Manual-entry dietary tracking depends on the food database against which entries are matched. The quality and provenance of these databases — the fraction of entries from analytical sources, the fraction user-submitted, the duplication rate, the coverage of restaurant-chain items…
Consumer dietary assessment tools are increasingly recommended for patient self-monitoring in weight management, type-2 diabetes, pre-surgical optimisation, and other clinical contexts. The accuracy threshold at which such tools can responsibly support self-monitoring decisions h…
Portion estimation for mixed dishes — stews, curries, casseroles, stir-fries, composite salads, and similar preparations whose ingredients are not separable on visual inspection — is the single source of error that most consistently dominates accuracy estimates in image-based die…
Weighed food records remain the most defensible reference standard for dietary assessment validation outside of duplicate-meal chemical assay. Their construction, however, is operationally demanding, and deviations from good practice at any of several steps — scale calibration, i…
Image-based dietary assessment applications have proliferated in consumer and clinical settings, yet the independent (non-vendor) evidence for their accuracy has not been pooled systematically. This review searched PubMed, EMBASE, CINAHL, IEEE Xplore, and Google Scholar for studi…
In dietary assessment validation and in nutritional epidemiology more generally, investigators routinely conclude that two methods of measurement are interchangeable, or that an intervention has no effect on intake, on the basis of a non-significant null-hypothesis test. Such inf…
Mean absolute percentage error (MAPE) is the most commonly reported summary of dietary assessment accuracy, yet its use is not always defensible. MAPE normalises each error by the reference value, which amplifies errors at low intake and compresses them at high intake, and become…
Image-based dietary assessment tools are frequently evaluated against public or semi-public benchmark datasets whose composition shapes what a validation result can be said to generalise to. This position paper characterises 23 publicly or semi-publicly described evaluation sets …
The United States Department of Agriculture's FoodData Central (USDA FDC) is the most widely used reference nutrient database in dietary assessment research, yet investigators frequently cite it without specifying which of its constituent sub-databases was queried, which release …
Image-based dietary assessment applications are increasingly marketed with quantitative accuracy claims, commonly expressed as mean absolute percentage error (MAPE) on energy and macronutrient estimation. The reliability of such vendor-reported figures has not been systematically…
Bland-Altman analysis remains the most widely used graphical approach for comparing two methods of continuous measurement, yet its application to dietary assessment is frequently incomplete or methodologically unsound. This methodology paper reviews the conventions of Bland-Altma…