Utilization of an AI-Powered Chatbot for Enhancing Oral Cancer Awareness among African Americans: Expert Feedback on Usability.

Oral and oropharyngeal cancers disproportionately affect Black Americans, contributing to significant healthcare disparities due to late-stage diagnoses and limited awareness. AI-powered chatbots have the potential to address these challenges by offering scalable, interactive, and personalized educational tools. This study evaluated the usability and accuracy of a Large Language Model-powered chatbot prototype under a Retrieval Augmented Generation framework designed to enhance oral cancer awareness, using a mixed-methods approach with six technical and clinical experts. Usability and accuracy were rated positively by 83.3% of the experts, with median scores of 6.65 and 7.67, respectively. Key areas for improvement included providing a clear introduction, simplifying the interface, addressing accessibility issues, and incorporating features like next-question suggestions, downloadable chats, and reference links. While content accuracy was well-received, gaps in conversational flow and technical term definitions were noted. These findings highlight the chatbot's potential to improve health literacy and reduce disparities.

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PubMed
Published
2025-01-01
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

Utilization of an AI-Powered Chatbot for Enhancing Oral Cancer Awareness among African Americans: Expert Feedback on Usability.

Janina Golob Deeb, Asmaa Namoos, Nour Eldin Abosamak, Tamas S. Gal
PubMed
Artificial Intelligence in Healthcare and Education
article

Utilization of an AI-Powered Chatbot for Enhancing Oral Cancer Awareness among African Americans: Expert Feedback on Usability.

Janina Golob Deeb, Asmaa Namoos, Nour Eldin Abosamak, Tamas S. Gal
article en

Abstract

Oral and oropharyngeal cancers disproportionately affect Black Americans, contributing to significant healthcare disparities due to late-stage diagnoses and limited awareness. AI-powered chatbots have the potential to address these challenges by offering scalable, interactive, and personalized educational tools. This study evaluated the usability and accuracy of a Large Language Model-powered chatbot prototype under a Retrieval Augmented Generation framework designed to enhance oral cancer awareness, using a mixed-methods approach with six technical and clinical experts. Usability and accuracy were rated positively by 83.3% of the experts, with median scores of 6.65 and 7.67, respectively. Key areas for improvement included providing a clear introduction, simplifying the interface, addressing accessibility issues, and incorporating features like next-question suggestions, downloadable chats, and reference links. While content accuracy was well-received, gaps in conversational flow and technical term definitions were noted. These findings highlight the chatbot's potential to improve health literacy and reduce disparities.

PubMedVol. 2025
Virginia Commonwealth University (US)
Openalex Percentile: Top 91%
Artificial Intelligence in Healthcare and Education
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