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Nutritional Language Model

NCT06661590 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 6

Last updated 2025-05-15

No results posted yet for this study

Summary

Colorectal cancer survivors often face unique nutritional challenges and require support in their recovery and long0term health. While human experts have traditionally provided that support, there has been an increase in the use of Large Language Models (LLM) in medicine and in nutrition. The LLM offers a potential supplementary resource for generating personalized nutritional advice, specifically in personalized messaging. However, the efficacy and reliability of these AI-generated messages in comparison to human expert advice remain underexplored specific to this population.

This study aims to compare the nutrition-related content generated by popular LLMs-ChatGPT, Claude, Gemini, and Co-Pilot-against messages crafted by human experts. By evaluating the generated content in terms of readability, thematic relevance, medical relevance, perceived effectiveness, and implementation of participants' clinical practice, this research will provide insights into the strengths and limitations of using AI for nutritional guidance in colorectal cancer care.

Conditions

  • No Disease State or Condition

Interventions

OTHER

Nutritional Messaging

Dieticians will evaluate nutritional messages created by LLM and Human Experts.

Sponsors & Collaborators

Principal Investigators

  • Annie Lin, RD, PhD · Hormel Institute

  • Glen Morris, PhD · Hormel Institute

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-15
Primary Completion
2024-12-20
Completion
2025-02-06

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06661590 on ClinicalTrials.gov