Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Use of a Large Language Model as a Dermatology Case Narrator: Exploring the Dynamics of a Chatbot as an Educational Tool in Dermatology
3
Zitationen
15
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.
Autoren
Institutionen
- University Hospital of Larissa(GR)
- University of Thessaly(GR)
- Aristotle University of Thessaloniki(GR)
- University General Hospital Attikon(GR)
- National and Kapodistrian University of Athens(GR)
- University Hospital of Heraklion(GR)
- Andreas Sygros Hospital(GR)
- 401 General Military Hospital of Athens(GR)
- Witten/Herdecke University(DE)
- University of Udine(IT)
- Pontificia Universidad Católica de Chile(CL)