ML Anthology

Intersection of Artificial Intelligence and Medical Education (Student Abstract)

Keefer P. Wu, Patricia C. Tsang
AAAI 2024 pp. 23684-23685
doi:10.1609/AAAI.V38I21.30525 /aaai/2024/wu2024aaai-intersection/

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.

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Cite

Text

Wu and Tsang. "Intersection of Artificial Intelligence and Medical Education (Student Abstract)." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30525

Markdown

[Wu and Tsang. "Intersection of Artificial Intelligence and Medical Education (Student Abstract)." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/wu2024aaai-intersection/) doi:10.1609/AAAI.V38I21.30525

BibTeX

@inproceedings{wu2024aaai-intersection,
  title     = {{Intersection of Artificial Intelligence and Medical Education (Student Abstract)}},
  author    = {Wu, Keefer P. and Tsang, Patricia C.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23684-23685},
  doi       = {10.1609/AAAI.V38I21.30525},
  url       = {https://mlanthology.org/aaai/2024/wu2024aaai-intersection/}
}