COMPARISON BETWEEN THE HEALTH EFFECTS OF AN AI-DRIVEN MODEL WITH THOSE OF HUMAN PROFESSIONAL GUIDELINES FOR THE TREATMENT OF OBESITY
1 other identifier
interventional
21
0 countries
N/A
Brief Summary
Many non-communicable diseases are diet-related and have a significant impact on public health. It is stated that global dietary shifts are needed to change disease patterns, highlighting the importance of nutrition in addressing public health issues, such as obesity. The field of nutrition has been dependent on clinical and observational studies; however, the emergence of Artificial Intelligence (AI) is transforming these approaches. ChatGPT may be used to provide dietary recommendations due to its high speed, extensive access to a variety of meal data, and low complexity. However, initial evaluations have shown that ChatGPT may be inaccurate in terms of safety and reliability, and traditional nutrition approaches are highly reliant on experts' knowledge and the validity of nutritional guidelines. It has been suggested that AI in nutrition may be beneficial; however, further investigations are needed. Our proposal aims to fill the represented critical evidence gaps. The study aims to compare the health effects of an AI-driven model with those of human professional guidelines for the treatment of obesity. Furthermore, we seek better strategies to utilize AI, if appropriate, for weight loss and other health benefits.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started May 2026
Shorter than P25 for not_applicable
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 23, 2026
CompletedFirst Posted
Study publicly available on registry
April 30, 2026
CompletedStudy Start
First participant enrolled
May 15, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
September 30, 2026
Study Completion
Last participant's last visit for all outcomes
December 31, 2026
April 30, 2026
April 1, 2026
5 months
April 23, 2026
April 23, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Weight change
8 weeks
Study Arms (3)
AI-only group using ChatGPT Premium
EXPERIMENTALA human assisted AI (ChatGPT Premium), in which dietary plans are developed and clinical judgment will be made.
A dietitian-led group (human)
EXPERIMENTALA dietitian-led group (human), in which dietary plans are developed by a licensed dietitian using standard professional resources and clinical judgment, without the use of generative AI tools.
AI-assisted dietitian group (combination)
ACTIVE COMPARATORAn AI-assisted dietitian group (combination), in which the same dietitian is permitted to use ChatGPT Premium as a supportive tool during the consultation
Interventions
• An AI-assisted dietitian group (combination), in which the same dietitian is permitted to use ChatGPT Premium as a supportive tool during the consultation.
A dietitian-led group (human), in which dietary plans are developed by a licensed dietitian using standard professional resources and clinical judgment, without the use of generative AI tools.
Arm Description: A human assisted AI (ChatGPT Premium), in which dietary plans are developed and clinical judgment will be made.
Eligibility Criteria
You may qualify if:
- Participants with age 18 to 60 years, BMI\>30, living in Lubbock-TX and willing to participate in the study.
You may not qualify if:
- Pregnant or breastfeeding women or recent (within the past 6 months) diagnosis of a severe/acute medical condition (e.g., acute pancreatitis, cancer), or any other chronic diseases except obesity (e.g., diabetes, chronic kidney diseases, psychiatric conditions) or taking any anti-obesity medications.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 23, 2026
First Posted
April 30, 2026
Study Start (Estimated)
May 15, 2026
Primary Completion (Estimated)
September 30, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
April 30, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share