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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

2026年5月1日 更新者: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.

調査の概要

詳細な説明

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.

研究の種類

介入

入学 (推定)

21

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

  • 名前:Surya Raj Niraula, PhD, Postdoc
  • 電話番号:(817) 371-5448
  • メール:surya.niraula@ttu.edu

研究連絡先のバックアップ

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人

健康ボランティアの受け入れ

はい

説明

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

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:処理
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
実験的: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.
実験的: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.
アクティブコンパレータ: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.

この研究は何を測定していますか?

主要な結果の測定

結果測定
時間枠
Rate of weight change, Fat %, Muscle Mass, and BMI
時間枠:8 weeks
8 weeks

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (推定)

2026年5月15日

一次修了 (推定)

2026年9月30日

研究の完了 (推定)

2026年12月31日

試験登録日

最初に提出

2026年4月23日

QC基準を満たした最初の提出物

2026年4月23日

最初の投稿 (実際)

2026年4月30日

学習記録の更新

投稿された最後の更新 (実際)

2026年5月7日

QC基準を満たした最後の更新が送信されました

2026年5月1日

最終確認日

2026年5月1日

詳しくは

本研究に関する用語

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個々の参加者データ (IPD) を共有する予定はありますか?

いいえ

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いいえ

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いいえ

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