Envisioning the Future: The Role of Large Language Models in Radiology Education

Author(s): Sadhana Kalidindi, RV Prasanna Vadana

The advent of Large Language Models (LLMs) like Generative Pretrained Transformer 4 (GPT-4) (OpenAI, San Franciso, USA) has ushered in a new range of possibilities in the field of medical education. This article explores the potential of LLMs in radiology education, highlighted by examples generated by GPT-4 and GPT-4o. We demonstrate the models’ application in creating interactive learning modules, personalized education, and enhancing research capabilities. Through a detailed examination of current challenges in radiology education and the unique advantages offered by models like GPT-4, this article outlines a future where technology and education converge to assist in producing more competent, knowledgeable, and adaptable radiology professionals.