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Comparison Between the Health Effects of an AI-driven Model With Those of Human Professional Guidelines for the Treatment of Obesity

1. mai 2026 oppdatert av: Texas Tech University

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, investigators seek better strategies to utilize AI, if appropriate, for weight loss and other health benefits.

Studieoversikt

Detaljert beskrivelse

An 8-week parallel-randomized clinical trial will be conducted. Participants will be recruited through printed flyers posted at approved locations, including Texas Tech University campus buildings and community centers in Lubbock, Texas. In addition to physical flyers, recruitment may include unpaid postings on social media platforms. No paid or targeted advertisements will be used. Flyers will include a QR code directing interested individuals an online survey. Based on their completed survey, they will be screened according to inclusion and exclusion criteria. If they meet the criteria, they will be invited for the baseline visit. Eligible participants will be asked to come fast for 8 hours to the Nutrition and Metabolic Health Initiative (NMHI). Upon arrival, the written consent form will be provided, and they will be enrolled in the study. They will be randomly allocated into one of the three groups in a 1:1:1 ratio. The REDCap will be used for electronic data capture for randomization and data management.

The experimental groups will include:

  • An AI-only group using ChatGPT Premium.
  • 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.
  • An AI-assisted dietitian group (combination), in which the same dietitian is permitted to use ChatGPT Premium as a supportive tool during the consultation.

This design reflects real-world clinical practice, where dietitians commonly use professional judgment and non-AI resources.

After allocation, blood pressure will be measured. Resting metabolic rate, fasting blood glucose, lipid profile, and HbA1 will be recorded. Participants will be blinded to their group assignment; however, the study will be unable to blind the personnel due to the nature of the study. Additionally, the participants will be asked to complete the short form of the International Physical Activity Questionnaire (IPAQ).

The AI group participants will be in touch only with a trained study staff member (operator) who will facilitate communication with ChatGPT Premium so that the participants cannot see the operator's screen. The operator will not be a licensed dietitian or healthcare provider and will not provide any independent dietary advice. The operator will receive standardized training prior to study initiation to ensure consistency across participants.

The results of the BIA and finger prick tests will be given to the AI and asked to provide a dietary meal plan based on a standard prompt.

The human group participants will sit in the same room, but instead of the operator, they will have 60-minute consultations with the dietitian. The results of baseline assessments would be provided; however, the dietitian does not have any AI access.

Participants in the combination group will sit in the same room and be consulted for 60 minutes by the same dietitian as the human group. However, in this group, the dietitian has access to ChatGPT premium and can use it.

After 8 weeks, all participants will be asked to attend the clinic for their final visit and glycemic index, lipid profile, HbA1c, and body composition will be measured. In addition, the participants will be asked about their self-report compliance assessment.

Studietype

Intervensjonell

Registrering (Antatt)

21

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiekontakt

Studer Kontakt Backup

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

  • Voksen

Tar imot friske frivillige

Ja

Beskrivelse

Inclusion Criteria:

  • Participants with age 18 to 60 years,
  • BMI>30
  • Living in Lubbock-TX
  • Willing to participate in the study

Exclusion Criteria:

  • Pregnant women
  • Breastfeeding women
  • Recent diagnosis of a severe/acute medical condition within 6 months
  • Any other chronic diseases except obesity (e.g., diabetes, chronic kidney diseases, psychiatric conditions, cancer, acute pancreatitis)
  • Taking any anti-obesity medications

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Behandling
  • Tildeling: Randomisert
  • Intervensjonsmodell: Parallell tildeling
  • Masking: Enkelt

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: AI-only group using ChatGPT Premium
A human assisted AI (ChatGPT Premium), in which dietary plans are developed and clinical judgment will be made.
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.
Eksperimentell: A dietitian-led group (human)
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.
• An AI-assisted dietitian group (combination), in which the same dietitian is permitted to use ChatGPT Premium as a supportive tool during the consultation.
Aktiv komparator: AI-assisted dietitian group (combination)
An AI-assisted dietitian group (combination), in which the same dietitian is permitted to use ChatGPT Premium as a supportive tool during the consultation
Arm Description: A human assisted AI (ChatGPT Premium), in which dietary plans are developed and clinical judgment will be made.

Hva måler studien?

Primære resultatmål

Resultatmål
Tidsramme
Rate of weight change, Fat %, Muscle Mass, and BMI
Tidsramme: 8 weeks
8 weeks

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Antatt)

15. mai 2026

Primær fullføring (Antatt)

30. september 2026

Studiet fullført (Antatt)

31. desember 2026

Datoer for studieregistrering

Først innsendt

23. april 2026

Først innsendt som oppfylte QC-kriteriene

23. april 2026

Først lagt ut (Faktiske)

30. april 2026

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

7. mai 2026

Siste oppdatering sendt inn som oppfylte QC-kriteriene

1. mai 2026

Sist bekreftet

1. mai 2026

Mer informasjon

Begreper knyttet til denne studien

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

Denne informasjonen ble hentet direkte fra nettstedet clinicaltrials.gov uten noen endringer. Hvis du har noen forespørsler om å endre, fjerne eller oppdatere studiedetaljene dine, vennligst kontakt register@clinicaltrials.gov. Så snart en endring er implementert på clinicaltrials.gov, vil denne også bli oppdatert automatisk på nettstedet vårt. .

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