Medical education empowered by generative artificial intelligence large language models

被引：10

作者：

Jowsey, Tanisha ^{[1
]}

Stokes-Parish, Jessica ^{[1
]}

Singleton, Rachelle ^{[2
]}

Todorovic, Michael ^{[3
,4
]}

机构：

[1] Bond Univ, Fac Hlth Sci & Med, Robina, Australia

[2] Univ Auckland, Fac Med & Hlth Sci, Auckland, New Zealand

[3] Griffith Univ, Sch Nursing & Midwifery, Brisbane, Australia

[4] Griffith Univ, Menzies Hlth Inst Queensland, Brisbane, Australia

来源：

TRENDS IN MOLECULAR MEDICINE | 2023年 / 29卷 / 12期

关键词：

D O I：

10.1016/j.molmed.2023.08.012

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：971 / 973

页数：3

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