AI-Generated Nutritional Messaging for Colorectal Cancer Survivors

(NLM Trial)

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: University of Minnesota

Disqualifiers: Non-English speakers, conflicts of interest

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: Unknown

Duration: 8-12 months

6 Participants Needed

Trial Summary

What is the purpose of this trial?

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.

Research Team

Annie Lin, RD, PhD

Principal Investigator

Hormel Institute

Glen Morris, PhD

Principal Investigator

Hormel Institute

Eligibility Criteria

This trial is for colorectal cancer survivors needing nutritional guidance. Participants should be open to receiving dietary advice from both AI language models and human experts. Specific eligibility criteria are not provided, so it's assumed that there are no major restrictions.

Inclusion Criteria

Must have access to computer and internet access

I am a dietitian with over 5 years of experience in cancer care.

Exclusion Criteria

Experts with conflicts of interest related to any of the LLMs that are being evaluated

I am fluent in English.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Treatment

Participants receive nutrition-related content generated by LLMs and human experts for comparison

8-12 months

Follow-up

Participants are monitored for the effectiveness and implementation of nutrition messages

4-8 weeks

Treatment Details

Interventions

• Nutritional Language Model

Trial Overview The study compares personalized nutritional messages created by AI language models (ChatGPT, Claude, Gemini, Co-Pilot) with those written by human nutrition experts. It assesses readability, relevance to themes and medicine, perceived effectiveness, and practical use in clinical settings.

Participant Groups

Group I: Dietician Experimental Treatment 1 Intervention

Who Is Running the Clinical Trial?

University of Minnesota

Lead Sponsor

Trials

1,459

Recruited

1,623,000+