{"title":"使用大型语言模型作为皮肤病学案例叙述者：探索聊天机器人作为皮肤病学教育工具的动态。","authors":"Emmanouil Karampinis, Dafni Anastasia Bozi Tzetzi, Georgia Pappa, Dimitra Koumaki, Dimitrios Sgouros, Efstratios Vakirlis, Aikaterini Liakou, Markos Papakonstantis, Marios Papadakis, Dimitrios Mantzaris, Elizabeth Lazaridou, Enzo Errichetti, Cristian Navarrete-Dechent, Angeliki Victoria Roussaki Schulze, Alexandros Katoulis","doi":"10.2196/72058","DOIUrl":null,"url":null,"abstract":"<p><strong>Unlabelled: </strong>A comparison of dermatological cases generated by artificial intelligence (AI) versus those created without AI by medical students revealed that AI-created cases were characterized by detailed case descriptions, analysis of medical history, and clinical examinations, but lacked the depth, clinical relevance, and motivational elements found in non-AI cases, which were shorter, presented clinical dilemmas, and included challenging scenarios that students found more educational and engaging.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"8 ","pages":"e72058"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12440318/pdf/","citationCount":"0","resultStr":"{\"title\":\"Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology.\",\"authors\":\"Emmanouil Karampinis, Dafni Anastasia Bozi Tzetzi, Georgia Pappa, Dimitra Koumaki, Dimitrios Sgouros, Efstratios Vakirlis, Aikaterini Liakou, Markos Papakonstantis, Marios Papadakis, Dimitrios Mantzaris, Elizabeth Lazaridou, Enzo Errichetti, Cristian Navarrete-Dechent, Angeliki Victoria Roussaki Schulze, Alexandros Katoulis\",\"doi\":\"10.2196/72058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Unlabelled: </strong>A comparison of dermatological cases generated by artificial intelligence (AI) versus those created without AI by medical students revealed that AI-created cases were characterized by detailed case descriptions, analysis of medical history, and clinical examinations, but lacked the depth, clinical relevance, and motivational elements found in non-AI cases, which were shorter, presented clinical dilemmas, and included challenging scenarios that students found more educational and engaging.</p>\",\"PeriodicalId\":73553,\"journal\":{\"name\":\"JMIR dermatology\",\"volume\":\"8 \",\"pages\":\"e72058\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12440318/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR dermatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/72058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/72058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology.
Unlabelled: A comparison of dermatological cases generated by artificial intelligence (AI) versus those created without AI by medical students revealed that AI-created cases were characterized by detailed case descriptions, analysis of medical history, and clinical examinations, but lacked the depth, clinical relevance, and motivational elements found in non-AI cases, which were shorter, presented clinical dilemmas, and included challenging scenarios that students found more educational and engaging.
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