Developing board-style radiology questions is resource intensive. Large language models could help

Health Imaging July 17, 2024
Hannah Murphy

Radiology educators could soon enjoy the assistive benefits of large language models like ChatGPT, as new research highlights the promise of LLMs to create educational materials and board-style questions.

Published in Academic Radiology, the data details LLMs’ great competence in drafting multiple choice questions, answers and rationales. Crafting these materials is typically left up to radiologists who draw from their own educational and clinical experiences, but the process is time consuming and can incur significant costs, authors of the new paper noted.

“A robust item bank for a 40-item computerized exam, administered twice a year, with 25 different forms for each administration and a maximum reuse rate of five for any test question over five years, requires at...

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