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OSCEai dermatology: augmenting dermatologic medical education with Large Language Model GPT-4
Ye-Jean Park1, Eddie Guo2,3, Muskaan Sachdeva1,4
1Division of Medicine, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Ontario, Canada.
Abstract:
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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