N/A
Completed N=24
Validity of an AI-based Program to Identify Foods and Estimate Food Portion Size
Nutrition Assessment
Source: ClinicalTrials.gov NCT05343585 ↗
Enrolled (actual)
24
Serious AEs
0.0%
Results posted
Nov 2023
Primary outcomePrimary: Identification of Food Plated Using the Openfit Mobile App — 118; 221 Food items
Summary
The purpose of this study is to test the accuracy of the Nutrition Artificial Intelligence in the Openfit app during meals in a controlled laboratory setting
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Identification of Food Plated Using the Openfit Mobile App |
118; 221 | — |
| PRIMARY Portion Size Estimation (kcal) of Food Plated Using the Openfit Mobile App |
577; 826; 769 | — |
| PRIMARY User Satisfaction of the Openfit Mobile App for Recording Food Plated |
4.1; 4.0; 4.2; 4.0; 5.5 | — |
| PRIMARY Usability of the Openfit Mobile App for Recording Food Plated |
2.4 | — |
Eligibility Criteria
Inclusion Criteria
- Male or female
- Aged 18-62 years
- Self-reported body mass index (BMI) 18.5-50 kg/m2
Exclusion Criteria
- Any condition or circumstance that could impede study completion
- Unfamiliar with or not able to use an iPhone
Data sourced from ClinicalTrials.gov (NCT05343585). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication. Informational only — not medical advice.