Performance of an Artificial Intelligence-Powered Smartphone Application in Identifying Gluten-free Foods for Individuals With Celiac Disease.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 41268922.
- Also identified by DOI 10.14309/ajg.0000000000003863.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Gluten-free diet (GFD) adherence is critical for individuals with celiac disease but is often hindered by food labeling inconsistencies and limited dietary support. We evaluated an AI-powered smartphone application's performance in classifying the GFD compatibility of packaged foods. Compatibility was assessed by gastroenterology-focused registered dietitians. Of 100 products (1,884 ingredients), dietitians classified 64 as GFD-compatible, of which only 37.5% (24/64) displayed a gluten-free label. The application demonstrated 99% and 99.8% accuracy at the product and ingredient level, respectively. With rigorous evaluation, AI-powered tools may support dietary adherence for patients with celiac disease.
Medical subject headings
- Celiac Disease
- Diet, Gluten-Free
- Smartphone
- Artificial Intelligence
- Mobile Applications
- Food Labeling