Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment (NCT05231824)
๐ฉบ Plain-English Summary (8th-Grade Level)
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.
Who can join: Review the eligibility criteria below.
Location: Drexel University Center for Weight, Eating and Lifestyle Science โ Philadelphia, Pennsylvania
Age range: 18 Years to 70 Years
๐งช Interventions in This Study
- Standard Behavioral Weight Loss Treatment (BEHAVIORAL)
- AI-optimized Behavioral Weight Loss Treatment (BEHAVIORAL)
๐ "Do I Qualify?" โ 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria โ
๐ All Participating Trial Locations (1 Sites)
- Drexel University Center for Weight, Eating and Lifestyle Science โ Philadelphia, Pennsylvania
๐ฐ Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA ยง 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.
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๐ก How to Participate
- Check the checklist above to see if you may qualify.
- Review the official NIH record below to find the coordinating site.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.