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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 de mayo de 2026 actualizado por: 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.

Descripción general del estudio

Descripción detallada

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.

Tipo de estudio

Intervencionista

Inscripción (Estimado)

21

Fase

  • No aplica

Contactos y Ubicaciones

Esta sección proporciona los datos de contacto de quienes realizan el estudio e información sobre dónde se lleva a cabo este estudio.

Estudio Contacto

  • Nombre: Surya Raj Niraula, PhD, Postdoc
  • Número de teléfono: (817) 371-5448
  • Correo electrónico: surya.niraula@ttu.edu

Copia de seguridad de contactos de estudio

  • Nombre: Shannon Galyean, PhD, RDN, LD
  • Número de teléfono: (806) 834-2286
  • Correo electrónico: shannon.galyean@ttu.edu

Criterios de participación

Los investigadores buscan personas que se ajusten a una determinada descripción, denominada criterio de elegibilidad. Algunos ejemplos de estos criterios son el estado de salud general de una persona o tratamientos previos.

Criterio de elegibilidad

Edades elegibles para estudiar

  • Adulto

Acepta Voluntarios Saludables

Sí

Descripción

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

Plan de estudios

Esta sección proporciona detalles del plan de estudio, incluido cómo está diseñado el estudio y qué mide el estudio.

¿Cómo está diseñado el estudio?

Detalles de diseño

  • Propósito principal: Tratamiento
  • Asignación: Aleatorizado
  • Modelo Intervencionista: Asignación paralela
  • Enmascaramiento: Único

Armas e Intervenciones

Grupo de participantes/brazo
Intervención / Tratamiento
Experimental: 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.
Experimental: 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.
Comparador activo: 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.

¿Qué mide el estudio?

Medidas de resultado primarias

Medida de resultado
Periodo de tiempo
Rate of weight change, Fat %, Muscle Mass, and BMI
Periodo de tiempo: 8 weeks
8 weeks

Colaboradores e Investigadores

Aquí es donde encontrará personas y organizaciones involucradas en este estudio.

Patrocinador

Fechas de registro del estudio

Estas fechas rastrean el progreso del registro del estudio y los envíos de resultados resumidos a ClinicalTrials.gov. Los registros del estudio y los resultados informados son revisados ​​por la Biblioteca Nacional de Medicina (NLM) para asegurarse de que cumplan con los estándares de control de calidad específicos antes de publicarlos en el sitio web público.

Fechas importantes del estudio

Inicio del estudio (Estimado)

15 de mayo de 2026

Finalización primaria (Estimado)

30 de septiembre de 2026

Finalización del estudio (Estimado)

31 de diciembre de 2026

Fechas de registro del estudio

Enviado por primera vez

23 de abril de 2026

Primero enviado que cumplió con los criterios de control de calidad

23 de abril de 2026

Publicado por primera vez (Actual)

30 de abril de 2026

Actualizaciones de registros de estudio

Última actualización publicada (Actual)

7 de mayo de 2026

Última actualización enviada que cumplió con los criterios de control de calidad

1 de mayo de 2026

Última verificación

1 de mayo de 2026

Más información

Términos relacionados con este estudio

Plan de datos de participantes individuales (IPD)

¿Planea compartir datos de participantes individuales (IPD)?

NO

Información sobre medicamentos y dispositivos, documentos del estudio

Estudia un producto farmacéutico regulado por la FDA de EE. UU.

No

Estudia un producto de dispositivo regulado por la FDA de EE. UU.

No

Esta información se obtuvo directamente del sitio web clinicaltrials.gov sin cambios. Si tiene alguna solicitud para cambiar, eliminar o actualizar los detalles de su estudio, comuníquese con register@clinicaltrials.gov. Tan pronto como se implemente un cambio en clinicaltrials.gov, también se actualizará automáticamente en nuestro sitio web. .

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