OSCEai dermatology: augmenting dermatologic medical education with Large Language Model GPT-4
Implication Statement OSCEai Dermatology demonstrates how large language models (LLMs) like GPT-4 can be integrated into medical education to enhance trainees’ history taking and management skills in an OSCE-like format, including in visual-based specialties like dermatology. By generating divers...
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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Canadian Medical Education Journal
2025-08-01
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| Series: | Canadian Medical Education Journal |
| Online Access: | https://journalhosting.ucalgary.ca/index.php/cmej/article/view/80056 |
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| Summary: | Implication Statement
OSCEai Dermatology demonstrates how large language models (LLMs) like GPT-4 can be integrated into medical education to enhance trainees’ history taking and management skills in an OSCE-like format, including in visual-based specialties like dermatology. By generating diverse, realistic skin cancer role-play scenarios across different skin tones alongside the integration of pre-existing, evidence-based images, the app provides learners with valuable, personalized feedback. This innovation offers a novel, interactive learning tool that supplements traditional teaching methods and can be applied across various specialties. Institutions can adopt or adapt similar LLM-driven educational tools to introduce trainees to a wider range of clinical cases, fostering improved diagnostic skills and patient-centred, culturally sensitive care.
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| ISSN: | 1923-1202 |