Using Artificial Intelligence to Optimize Delivery of Weight Loss Treatment
NCT ID: NCT05231824
Last Updated: 2025-08-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
336 participants
INTERVENTIONAL
2022-03-22
2026-03-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
FACTORIAL
TREATMENT
SINGLE
Study Groups
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BWL-S
1 year of remote gold standard, small group-based behavioral weight loss treatment with an MS-level clinician.
Standard Behavioral Weight Loss Treatment
Behavioral weight loss treatment is the current gold standard treatment for obesity.
BWL-AI
1 year of remote weight loss treatment made up of a combination of (1) remote small group-based behavioral weight loss sessions, (2) 12-minute individual video calls, (2) automated text messages. An MS-level clinician will deliver the group treatment. Most video calls will be delivered by a paraprofessional coach, but some by an MS-level clinician. Each week the AI system will select one of the interventions for each participant based on which treatment the participant has responded to the best, within certain time constraints.
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.
Interventions
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Standard Behavioral Weight Loss Treatment
Behavioral weight loss treatment is the current gold standard treatment for obesity.
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.
Eligibility Criteria
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Inclusion Criteria
* Individuals must be adults (aged 18-70)
* Able and willing to engage in the remote program
* Able to engage in physical activity (defined as walking two city blocks without stopping)
* Individuals must also provide consent for the research team to contact their personal physician if necessary, to provide clearance or to consult about rapid weight loss
* Access and willingness to use an Apple or Android smartphone
* Satisfactory completion of all enrollment procedures
Exclusion Criteria
* Currently pregnant, breastfeeding, or planning to become pregnant in the next 12 months
* Recently began or changed the dosage of medication that can cause significant change in weight
* History of bariatric surgery
* Weight loss of \> 5% in the previous 3 months
18 Years
70 Years
ALL
No
Sponsors
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Drexel University
OTHER
Responsible Party
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Erica Schulte
Professor of Psychological and Brain Sciences
Principal Investigators
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Evan M Forman, PhD
Role: PRINCIPAL_INVESTIGATOR
Drexel University Center for Weight, Eating and Lifestyle Science
Locations
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Drexel University Center for Weight, Eating and Lifestyle Science
Philadelphia, Pennsylvania, United States
Countries
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References
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Berry M, Taylor L, Huang Z, Chwyl C, Kerrigan S, Forman E. Automated Messaging Delivered Alongside Behavioral Treatment for Weight Loss: Qualitative Study. JMIR Form Res. 2023 Nov 6;7:e50872. doi: 10.2196/50872.
Forman EM, Berry MP, Butryn ML, Hagerman CJ, Huang Z, Juarascio AS, LaFata EM, Ontanon S, Tilford JM, Zhang F. Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial. Contemp Clin Trials. 2023 Jan;124:107029. doi: 10.1016/j.cct.2022.107029. Epub 2022 Nov 23.
Other Identifiers
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R01DK12564
Identifier Type: -
Identifier Source: org_study_id
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