AAAI 2024technical0 citations
Intersection of Artificial Intelligence and Medical Education (Student Abstract)
Keefer P. Wu, Patricia C. Tsang
Abstract
Can advanced AI-driven technologies transform the traditionally arduous educational process in medicine? This study takes a deep dive into how the publicly available OpenAI ChatGPT-3.5 performs in answering board-style questions designed for physicians training to become pathologists. Correctly answering 75% of 543 questions using an engaging and fast-paced format was an impressive performance. It underscores the potential as well as improvement opportunities of using interactive AI in future medical training.
BibTeX
@article{Wu_Tsang_2024, title={Intersection of Artificial Intelligence and Medical Education (Student Abstract)}, volume={38}, url={https://ojs.aaai.org/index.php/AAAI/article/view/30525}, DOI={10.1609/aaai.v38i21.30525}, abstractNote={Can advanced AI-driven technologies transform the traditionally arduous educational process in medicine? This study takes a deep dive into how the publicly available OpenAI ChatGPT-3.5 performs in answering board-style questions designed for physicians training to become pathologists. Correctly answering 75% of 543 questions using an engaging and fast-paced format was an impressive performance. It underscores the potential as well as improvement opportunities of using interactive AI in future medical training.}, number={21}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Wu, Keefer P. and Tsang, Patricia C.}, year={2024}, month={Mar.}, pages={23684-23685} }