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

Tanisha Jowsey, Jessica Stokes-Parish, Rachelle Singleton, Michael Todorovic^*

^*Corresponding author for this work

Faculty of Health Sciences & Medicine

Research output: Contribution to journal › Comment/debate/opinion › Research › peer-review

9 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	Trends in Molecular Medicine
DOIs	https://doi.org/10.1016/j.molmed.2023.08.012
Publication status	Accepted/In press - 2023

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10.1016/j.molmed.2023.08.012

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@article{60185dd4514a4680af23c099a5796961,

title = "Medical education empowered by generative artificial intelligence large language models",

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{\textquoteright} digital capability.",

author = "Tanisha Jowsey and Jessica Stokes-Parish and Rachelle Singleton and Michael Todorovic",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier Ltd",

year = "2023",

doi = "10.1016/j.molmed.2023.08.012",

language = "English",

pages = "1--3",

journal = "Trends in Molecular Medicine",

issn = "1471-4914",

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T1 - Medical education empowered by generative artificial intelligence large language models

AU - Jowsey, Tanisha

AU - Stokes-Parish, Jessica

AU - Singleton, Rachelle

AU - Todorovic, Michael

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85171269083&partnerID=8YFLogxK

U2 - 10.1016/j.molmed.2023.08.012

DO - 10.1016/j.molmed.2023.08.012

M3 - Comment/debate/opinion

AN - SCOPUS:85171269083

SN - 1471-4914

SP - 1

EP - 3

JO - Trends in Molecular Medicine

JF - Trends in Molecular Medicine

ER -

Medical education empowered by generative artificial intelligence large language models

Abstract

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