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

Pennington Biomedical Research Center

Status: Completed

Conditions: Nutrition Assessment

Treatments: Device: PortionSize AI

Study type: Interventional

Funder types: Other; NIH

Identifiers

NCT05343585

PBRC 2022-011

T32DK064584 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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

Full description

For this pilot study, using a convenience sample, the investigators will recruit up to 25 adults to use the Nutrition AI technology in Openfit to identify and estimate portion size of foods plated in a laboratory setting at Pennington Biomedical Research Center (PBRC) and/or Louisiana State University (LSU). Laboratory members within the Ingestive Behavioral Laboratory will also test the ability of Nutrition AI to identify foods and to quantify foods provided in the laboratory. Meals will be simulated, and participants will not consume the foods provided.

Enrollment: 24 patients

Sex: All

Ages: 18 to 62 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Other

Allocation: N/A

Interventional model: Single Group Assignment

Masking: None (Open label)

---

24 participants in 1 patient group

Experimental

Experimental group

Description:

* Training and use of Openfit * Using the app to estimate food intake from simulated meals in a laboratory at PBRC or LSU (participants will not eat food during the meals) * Rating the usability and satisfaction of the app

Treatment:

Device: PortionSize AI