Nour Abosamak, Asmaa Namoos, Janina Golob Deeb, Tamas Gal
{"title":"利用人工智能聊天机器人提高非裔美国人对口腔癌的认识:专家对可用性的反馈。","authors":"Nour Abosamak, Asmaa Namoos, Janina Golob Deeb, Tamas Gal","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":72181,"journal":{"name":"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science","volume":"2025 ","pages":"42-45"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150737/pdf/","citationCount":"0","resultStr":"{\"title\":\"Utilization of an AI-Powered Chatbot for Enhancing Oral Cancer Awareness among African Americans: Expert Feedback on Usability.\",\"authors\":\"Nour Abosamak, Asmaa Namoos, Janina Golob Deeb, Tamas Gal\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":72181,\"journal\":{\"name\":\"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science\",\"volume\":\"2025 \",\"pages\":\"42-45\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12150737/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
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.