Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology.

Q3 Medicine
JMIR dermatology Pub Date : 2025-09-16 DOI:10.2196/72058
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
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引用次数: 0

Abstract

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.

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。
未标记的:通过比较由人工智能(AI)生成的皮肤病病例与医学生在没有人工智能的情况下创建的病例,发现人工智能创建的病例的特点是详细的病例描述、病史分析和临床检查,但缺乏非人工智能病例的深度、临床相关性和动机因素,非人工智能病例较短,呈现临床困境,包括具有挑战性的场景,学生认为这些场景更具教育意义和吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
0.00%
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0
审稿时长
18 weeks
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