N/A N=24 Other

Validity of an AI-based Program to Identify Foods and Estimate Food Portion Size

Nutrition Assessment

Bottom Line

View on ClinicalTrials.gov: NCT05343585 ↗

Enrolled (actual)

Serious AEs

0.0%

Results posted

Nov 2023

Primary outcome: Primary: Identification of Food Plated Using the Openfit Mobile App — 118; 221 Food items

Study Design & Population

Study type: Interventional
Phase: N/A
Interventions: PortionSize AI (Device)
Age: Adult · 18+ yrs
Sex: All
Sponsor: Pennington Biomedical Research Center
Primary completion: Jun 2022

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	—

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

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

View full record on ClinicalTrials.gov →

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.