Intersection of Artificial Intelligence and Medical Education (Student Abstract)

Authors

  • Keefer P. Wu Northeastern University, Boston, MA
  • Patricia C. Tsang MedStar Health, Washington, DC

DOI:

https://doi.org/10.1609/aaai.v38i21.30525

Keywords:

Applications of AI, AI For Healthcare, Large Language Model, Generative AI

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.
AAAI-24 / IAAI-24 / EAAI-24 Proceedings Cover

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Published

2024-03-24

How to Cite

Wu, K. P., & Tsang, P. C. (2024). Intersection of Artificial Intelligence and Medical Education (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23684–23685. https://doi.org/10.1609/aaai.v38i21.30525

Issue

Vol. 38 No. 21: IAAI-24, EAAI-24, AAAI-24 Student Abstracts, Undergraduate Consortium and Demonstrations

Section

AAAI Student Abstract and Poster Program