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Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment

NCT05231824 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 336

Last updated 2025-08-24

No results posted yet for this study

Summary

Project ReLearn is testing the efficacy and cost-effectiveness of an Artificial Intelligence system for optimizing weight loss coaching. Participants are randomized to a 1-year weekly gold standard behavioral weight loss remote (video) group treatment or the AI-optimized treatment, which is made up of a combination of remote group treatment, short video call and automated message. In the AI-optimized condition, the system monitors outcomes (via wireless scale, mobile phone app, and wristworn tracker) and, each week, assigns each participant the treatments they have responding to the best, within certain time constraints.

Conditions

Interventions

BEHAVIORAL

Standard Behavioral Weight Loss Treatment

Behavioral weight loss treatment is the current gold standard treatment for obesity.

BEHAVIORAL

AI-optimized Behavioral Weight Loss Treatment

AI-optimized Behavioral Weight Loss Treatment will continuously vary intensity (automated text message, videoconference group, individual coaching call) and coach type (paraprofessional or MS-level expert) based on continuously-monitored participant digital data.

Sponsors & Collaborators

  • Drexel University

    lead OTHER

Principal Investigators

  • Evan M Forman, PhD · Drexel University Center for Weight, Eating and Lifestyle Science

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Model
FACTORIAL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-22
Primary Completion
2025-08-31
Completion
2026-03-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05231824 on ClinicalTrials.gov