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This study tests an AI-video learning approach to help undergraduate health sciences and pre-medical learners reframe aging through a three-phase design: baseline surveys, AI-generated patient simulations, and post-intervention attitude measures. A final component uses AI to create “aged” self-avatars from student photos, embedding them into further simulations to promote empathy and reduce ageist assumptions. Preliminary results compare perspectives before and after the intervention, supporting more age-inclusive gerontology education.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/innovation-in-aging-issue-s2-reframing-aging-through-ai-generated-patient-simulations-in-pre-medical-education/421636/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/innovation-in-aging-issue-s2-reframing-aging-through-ai-generated-patient-simulations-in-pre-medical-education/421636.png","ImageObject",300,407,{"name":92,"@type":93},"Angel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-28",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How does the study assess students’ baseline perceptions of aging?","Question",{"text":112,"@type":113},"Students complete an initial survey measuring their baseline perceptions of aging and older adults before any AI-based activities.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What happens during the AI-generated video simulation phase?",{"text":117,"@type":113},"Students view AI-generated video simulations depicting aging patients with diverse health conditions and life experiences to challenge stereotypes.",{"name":119,"@type":110,"acceptedAnswer":120},"How does the “aged” self-avatar component work, and what is its purpose?",{"text":121,"@type":113},"Students upload their own photos to an AI system that generates “aged” versions of themselves. The resulting personalized avatars are integrated into additional simulations to help students reflect on their potential aging experiences and increase empathy.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},421636,1791032508,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":81,"preview_page_count":4},687207412472,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Innovation in Aging, 2025, Vol. 9, No. S2 123  \nAbstract citation ID: igaf122.409  \nREFRAMING AGING THROUGH AI-GENERATED PATIENT SIMULATIONS IN PRE-MEDICAL  \nEDUCATION  \nErta Cenko, and Neha Rani, University of Florida, Gainesville, Florida, United States  \nAs future healthcare providers, pre-medical students’perceptions of aging influence how they will interact with older patients. However, misconceptions and implicit biases about aging persist in medical education, often reinforcing stereotypes.This study explores the use of AI-generated videos as an innovative educational tool to help undergraduate health sciences and pre-medical students reframe their understanding of aging. The study follows a three-phase design. First, students complete a survey assessing their baseline perceptions of aging and older adults. Next, they engage with AI-generated video simulations that depict aging patients with diverse health conditions and life experiences. Afterwards, students complete a follow-up survey to measure shifts in their attitudes. In the final phase, students upload their own photos into an AI system that generates “aged” versions of themselves. These personalized avatars are then integrated into additional patient simulations, allowing students to see themselves as older individuals and reflect on their potential aging experiences. By integrating AI-driven experiential learning, this project aims to increase students’ empathy and challenge ageist assumptions in medical education. Preliminary findings will explore changes in students’ perspectives before and after the intervention, highlighting AI’s potential to transform gerontology education in the medical sciences. This approach supports gerontological education across fields, helping create a more age-inclusive healthcare workforce.","cbCaiu29i9wvyo1v","https://ap.wps.com/l/cbCaiu29i9wvyo1v","pdf",164183,"English","# Study overview\n## Three-phase intervention design\n## AI-generated simulations and aged self-avatars\n## Expected impact and preliminary evaluation","[{\"question\":\"How does the study assess students’ baseline perceptions of aging?\",\"answer\":\"Students complete an initial survey measuring their baseline perceptions of aging and older adults before any AI-based activities.\"},{\"question\":\"What happens during the AI-generated video simulation phase?\",\"answer\":\"Students view AI-generated video simulations depicting aging patients with diverse health conditions and life experiences to challenge stereotypes.\"},{\"question\":\"How does the “aged” self-avatar component work, and what is its purpose?\",\"answer\":\"Students upload their own photos to an AI system that generates “aged” versions of themselves. The resulting personalized avatars are integrated into additional simulations to help students reflect on their potential aging experiences and increase empathy.\"}]","Innovation in Aging - Issue S2 - REFRAMING AGING THROUGH AI-GENERATED PATIENT SIMULATIONS IN PRE-MEDICAL EDUCATION | PDF",1790625302]