Medical education empowered by generative artificial intelligence large language models

Tanisha Jowsey; Jessica Stokes-Parish; Rachelle Singleton; Michael Todorovic

doi:10.1016/j.molmed.2023.08.012

Medical education empowered by generative artificial intelligence large language models

Trends Mol Med. 2023 Dec;29(12):971-973. doi: 10.1016/j.molmed.2023.08.012. Epub 2023 Sep 16.

Authors

Tanisha Jowsey¹, Jessica Stokes-Parish¹, Rachelle Singleton², Michael Todorovic³

Affiliations

¹ Faculty of Health Sciences and Medicine, Bond University, Robina, Australia.
² Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
³ School of Nursing and Midwifery, Griffith University, Brisbane, Australia; Menzies Health Institute Queensland, Griffith University, Brisbane, Australia. Electronic address: m.todorovic@griffith.edu.au.

PMID: 37718142
DOI: 10.1016/j.molmed.2023.08.012

Abstract

Generative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs into learning and teaching practice, ultimately enhancing students' digital capability.

Keywords: artificial intelligence; education; large language model; machine learning.

MeSH terms

Artificial Intelligence*
Education, Medical*
Humans
Language