Trends in molecular medicine. 2023 Dec;29(12):971-973. doi: 10.1016/j.molmed.2023.08.012 Q113.82025

Medical education empowered by generative artificial intelligence large language models

生成式人工智能大型语言模型赋能医学教育翻译改进

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

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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.

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

摘要 Ai翻译

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: ... ...点击完成人机验证后继续浏览

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期刊名：Trends in molecular medicine

缩写：TRENDS MOL MED

ISSN：1471-4914

e-ISSN：1471-499X

IF/分区：13.8/Q1

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Medical education empowered by generative artificial intelligence large language models

生成式人工智能大型语言模型赋能医学教育翻译改进

LLMs get a medical education

大型语言模型接受医学教育

The impending impacts of large language models on medical education

大型语言模型对医学教育的潜在影响

A systematic review of large language models and their implications in medical education

大型语言模型及其在医学教育中应用的系统性综述

Large Language Models and Their Implications on Medical Education

大型语言模型及其对医学教育的影响

Teaching the Limitations of Large Language Models in Medical School

在医学院教授大型语言模型的局限性

Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities

眼科医学教育中的大型语言模型：定制指令和增强的检索能力

Large Language Models in Medical Education: Comparing ChatGPT- to Human-Generated Exam Questions

大型语言模型在医学教育中的应用：比较ChatGPT与人生成的考试试题

Fine-Tuning Large Language Models to Enhance Programmatic Assessment in Graduate Medical Education

微调大型语言模型以增强毕业后医学教育中的程序性评估能力

Medical education empowered by generative artificial intelligence large language models

生成式人工智能大型语言模型赋能医学教育 翻译改进

LLMs get a medical education

大型语言模型接受医学教育

The impending impacts of large language models on medical education

大型语言模型对医学教育的潜在影响

A systematic review of large language models and their implications in medical education

大型语言模型及其在医学教育中应用的系统性综述

Large Language Models and Their Implications on Medical Education

大型语言模型及其对医学教育的影响

Teaching the Limitations of Large Language Models in Medical School

在医学院教授大型语言模型的局限性

Medical education with large language models in ophthalmology: custom instructions and enhanced retrieval capabilities

眼科医学教育中的大型语言模型：定制指令和增强的检索能力

Large Language Models in Medical Education: Comparing ChatGPT- to Human-Generated Exam Questions

大型语言模型在医学教育中的应用：比较ChatGPT与人生成的考试试题

Fine-Tuning Large Language Models to Enhance Programmatic Assessment in Graduate Medical Education

微调大型语言模型以增强毕业后医学教育中的程序性评估能力

生成式人工智能大型语言模型赋能医学教育翻译改进