AI-Powered Chatbot vs Traditional Education for Mouth Cancer Awareness

Overseen By Tamas Gal, Ph.D

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Virginia Commonwealth University

Disqualifiers: Physical or mental incapacity, minors, prisoners, others

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

Compensation: Varies

Number of Visits: Unknown

60 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial aims to determine whether an AI-powered chatbot or traditional educational materials more effectively teach people about mouth cancer and its prevention. Participants will either interact with a chatbot that provides information on risks, symptoms, and prevention or receive educational handouts from trusted health sources. The study seeks African American adults who can read, speak, and write in English and are interested in learning about oral cancer prevention. As an unphased trial, this study offers a unique opportunity to contribute to innovative educational methods for oral cancer prevention.

Will I have to stop taking my current medications?

The trial information does not specify whether you need to stop taking your current medications.

Is there any evidence suggesting that this trial's treatments are likely to be safe?

Research has shown that AI chatbots used in healthcare are generally safe. They assist with tasks such as checking cancer risks and aiding with medication, without major safety issues. These chatbots are well-received for their aim to provide accurate and helpful information.

In this trial, the AI chatbot is designed to educate participants about oral cancer. Although no specific safety problems have been reported for chatbots, they offer an interactive learning experience. By providing information on risks and symptoms, they help raise awareness. Overall, using an AI chatbot is considered a safe method for learning more about oral cancer. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about using an AI-powered chatbot for mouth cancer awareness because it offers a dynamic, interactive learning experience unlike traditional methods. While standard educational materials provide static information, the AI chatbot engages users in conversation, allowing for personalized responses and real-time feedback. This technology can adapt to individual learning styles and provide instant answers to questions, potentially making the education process more engaging and effective. The hope is that this innovative approach will lead to better understanding and awareness of oral cancer, promoting early detection and prevention.

What evidence suggests that this trial's treatments could be effective for mouth cancer awareness?

This trial will compare the effectiveness of an AI-powered chatbot with traditional educational materials for mouth cancer awareness. Research has shown that AI chatbots can help people learn about oral cancer. One study found that these chatbots provide accurate information about the risks, symptoms, and prevention of oral cancer, making them a useful educational tool. Another study discovered that AI chatbots deliver information with 80% accuracy, particularly on basic facts and prevention. These findings suggest that AI chatbots might be a valuable way to educate people about mouth cancer, potentially surpassing traditional methods. Participants in this trial will engage with either the AI-powered chatbot or receive traditional educational materials to determine which method is more effective. ^{1 2 3 4 6}

Who Is on the Research Team?

Tamas Gal, Ph.D

Principal Investigator

Virginia Commonwealth University

Are You a Good Fit for This Trial?

This trial is for individuals from minority groups who are interested in learning about oral cancer prevention. Specific eligibility criteria have not been provided, so it's best to contact the study organizers for detailed requirements.

Inclusion Criteria

Identify as African American as defined by the US Census

Participants must be able to read, speak, and write in English

Exclusion Criteria

Prisoners

I am physically and mentally able to participate in the research.

I am unable to give consent for medical procedures.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Intervention

Participants receive either traditional educational handouts or engage with an AI-powered chatbot to enhance oral cancer awareness

3 months

Baseline and post-intervention assessments

Follow-up

Participants are monitored for retention rates, knowledge improvement, and acceptability of interventions

3 months

What Are the Treatments Tested in This Trial?

Interventions

• AI-powered Chatbox
• Traditional Education

Trial Overview The trial aims to compare the effectiveness of an AI-powered chatbot with traditional educational handouts in raising awareness and knowledge about oral cancer and its prevention among participants.

How Is the Trial Designed?

Group I: Engaging with an AI-powered Chatbot Experimental Treatment 1 Intervention

AI-powered chatbox designed specifically for oral cancer education. The chatbot is programmed to provide accurate information on oral cancer risks, symptoms, preventive measures, and the importance of regular dental check-ups.

Group II: Traditional Educational Materials Active Control 1 Intervention

Receiving oral cancer educational materials (handouts from trusted sources such as the Centers for Disease Control (CDC) and American Cancer Association (ACA) and other reliable health education resources.

Who Is Running the Clinical Trial?

Virginia Commonwealth University

Lead Sponsor

Trials

732

Recruited

22,900,000+

American Association for Cancer Education

Collaborator

Trials

2

Recruited

240+

Published Research Related to This Trial

A study evaluating responses to 200 medication-use questions found that a medication database provided more clinically correct, complete, safe, and useful answers than an AI chatbot, with 97% of questions answered by the database compared to 80% by the chatbot.

While the chatbot's clinical correctness was comparable to the database at 85%, it lagged behind in completeness (65%), safety (71%), and usefulness (68%), indicating a need for further improvements in chatbot technology for reliable clinical use.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Evaluation of inpatient medication guidance from an artificial intelligence chatbot. Beavers, J., Schell, RF., VanCleave, H., et al.[2023]

In a study involving 95,166 patients, 64.2% engaged with a clinical chatbot designed to assess hereditary cancer risk, with 89.4% completing the risk assessment, indicating high acceptability and usability of the tool.

The chatbot identified that 25% of users met the criteria for genetic testing for hereditary cancer syndromes, and among those tested, 5.6% had a pathogenic variant, demonstrating its effectiveness in triaging high-risk patients for further evaluation.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Hereditary Cancer Risk Using a Genetic Chatbot Before Routine Care Visits. Nazareth, S., Hayward, L., Simmons, E., et al.[2023]

The pilot version of the Rosa chatbot, developed over two years with input from patients and healthcare professionals, aims to assist breast and ovarian cancer patients in understanding genetic BRCA testing, highlighting the importance of user-centered design in health technology.

Despite initial challenges with AI matching user questions to answers, the final version of the chatbot significantly expanded its database and received positive feedback from users regarding its layout and trustworthiness, indicating potential for real-world application in healthcare settings.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Ask Rosa - The making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer. Siglen, E., Vetti, HH., Lunde, ABF., et al.[2022]

ChatGPT provided correct answers to 71.9% of questions about obstructive sleep apnea, indicating it can be a useful tool for patient education, regardless of the type of prompting used.

Prompting for statistics and references significantly improved the quality of responses, with 96.1% of those answers including references, while patient-friendly prompts resulted in simpler language suitable for patients, maintaining an acceptable grade level for medical information.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

Evaluating ChatGPT responses on obstructive sleep apnea for patient education. Campbell, DJ., Estephan, LE., Mastrolonardo, EV., et al.[2023]

Citations

1. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC12150737/

Utilization of an AI-Powered Chatbot for Enhancing Oral ... This study demonstrates the potential of AI-powered chatbots as educational tools for oral and oropharyngeal cancer awareness.

2. clinicaltrials.gov clinicaltrials.gov/ct2/show/NCT06682494

Enhancing Oral Cancer Awareness Among Minorities AI-powered chatbox designed specifically for oral cancer education. The chatbot is programmed to provide accurate information on oral cancer risks, symptoms, ...

3. withpower.com withpower.com/trial/phase-mouth-neoplasms-10-2024-9a8da

AI-Powered Chatbot vs Traditional Education for Mouth ... AI-powered chatbox designed specifically for oral cancer education. The chatbot is programmed to provide accurate information on oral cancer risks, symptoms, ...

4. mdpi.com mdpi.com/2076-3417/15/19/10792

Early Oral Cancer Detection with AI: Design and ... This study presents a novel system that combines a patient-centred chatbot with a deep learning framework to support early diagnosis, symptom triage, and health ...

5. sciencedirect.com sciencedirect.com/science/article/pii/S2772906024001262

ChatGPT Conversations on Oral Cancer: Unveiling ... ChatGPT demonstrates an 80% accuracy, excelling in basic knowledge and prevention-related queries on oral cancer.

6. sciencedirect.com sciencedirect.com/science/article/pii/S295064332500008X

Assessment of quality, understandability, actionability, and ... This study sought to assess the quality, understandability, actionability, and readability of the health information obtained by 4 chatbots for the most Google- ...