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

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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Publication Details

Journal
JMIR Dermatology
Published
2025-09-16
DOI
https://doi.org/10.2196/72058
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

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

Alexander Katoulis, Markos Papakonstantis, Dimitrios Sgouros, Enzo Errichetti et al.
3 citations
JMIR Dermatology
Artificial Intelligence in Healthcare and Education
1.96
article

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

Alexander Katoulis, Markos Papakonstantis, Dimitrios Sgouros, Enzo Errichetti, Marios Papadakis, Dimitra Koumaki, Aikaterini Ι. Liakou, Elizabeth Lazaridou, Georgia Pappa, Cristián Navarrete‐Dechent, Dimitrios Mantzaris, Emmanouil Karampinis, Efstratios Vakirlis, Angeliki-Victoria Roussaki-Schulze, Dafni Anastasia Bozi Tzetzi
article en
3 citations

Abstract

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.

JMIR DermatologyVol. 8
University of Udine (IT), University of Thessaly (GR), Witten/Herdecke University (DE), Pontificia Universidad Católica de Chile (CL), National and Kapodistrian University of Athens (GR), Aristotle University of Thessaloniki (GR), 401 General Military Hospital of Athens (GR), University Hospital of Larissa (GR), Andreas Sygros Hospital (GR), University Hospital of Heraklion (GR), University General Hospital Attikon (GR)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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